Datasets:
lea-33
/
Slide_Insight_structured_mixed_embed

Dataset card Data Studio Files
xet
Community
1
key
stringlengths
25
28
zenodo_record_id
stringclasses
35 values
zenodo_filename
stringclasses
70 values
page_number
int64
1
114
text_embedding
listlengths
1.02k
1.02k
visual_embedding
listlengths
512
512
mixed_embedding
listlengths
1.02k
1.02k
extracted_text
stringlengths
0
53.7k
structured_response
stringclasses
50 values
mixed_embedding_structured
listlengths
1.02k
1.02k
record8323588_pdf12_slide5
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
5
[ 0.3081723749637604, 0.5170636773109436, -0.4770181477069855, -0.79053795337677, 0.13162794709205627, 0.7358063459396362, 0.5126321315765381, 0.3867102861404419, 0.3352980315685272, 0.8685309290885925, -0.30967265367507935, -0.06224989518523216, -0.05807066336274147, 0.5864770412445068, -...
[ 0.4021713137626648, 0.6547141075134277, -0.12683452665805817, 0.5458316206932068, 0.40391600131988525, -0.11632128059864044, 0.21035566926002502, 0.0403367355465889, 0.13990813493728638, 0.11777914315462112, 0.11702258139848709, -0.03646237030625343, 0.12085557729005814, -0.154944404959678...
[ 0.24437658488750458, 0.531303346157074, -0.38895556330680847, -0.11780626326799393, -0.39265966415405273, 0.16757383942604065, -0.046310678124427795, 0.43876513838768005, 1.0531271696090698, 0.6916233897209167, -0.24062249064445496, 0.39669114351272583, -0.33605530858039856, 0.742942452430...
Connect Fiji and OMERO (2/2) 3. Open Fiji and go to Plugins → OMERO →Connect to OMERO 4. Log in to OMERO with your user credentials. Omeroserveraddress The Fiji-OMERO pluginlooksalmostpreciselylike OMERO.insight, but is, in fact, partof theopen Fijiapplication p 5 Fijipublication: Schindelin, J., Arganda-Carreras, I., Frise, E. et al. Fiji: an open-source platformforbiological-image analysis. ADD LOGO SMALL Nat Methods 9, 676–682 (2012). https://doi.org/10.1038/nmeth.2019
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide6
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
6
[ 0.19606173038482666, 0.04473814368247986, -0.575363039970398, -0.741260290145874, -0.7995221614837646, 0.05895274505019188, 0.23302392661571503, 0.6706272959709167, 0.2824019491672516, 0.5285566449165344, -0.3075038492679596, 0.04432143643498421, -0.18494276702404022, 0.5013796091079712, ...
[ -0.02047799341380596, -0.030658192932605743, 0.35900571942329407, -0.04339994862675667, -0.08847071975469589, -0.36565524339675903, -0.004814757499843836, -0.25257062911987305, 0.4129311144351959, 0.30545952916145325, -0.2108161598443985, -0.2584085762500763, -0.7529897689819336, -0.487791...
[ 0.30689236521720886, -0.18448519706726074, -0.45493724942207336, -0.9049333930015564, -0.6852294206619263, 0.17682242393493652, -0.053408388048410416, -0.12395013868808746, 0.38687387108802795, 0.6654419302940369, -0.3443264067173004, 0.07661288976669312, 0.007438797503709793, 0.1232864931...
OMERO plugin for Fiji versus OMERO.insight NOTE: The window looks similar to OMERO.insight, but it is a You can distinguish the applications different application. For example, OMERO.insight has no View by their appearance in the task bar. in ImageJ function nor allows Save ImageJ Results. OMERO plugin for Fiji OMERO.insight p 6 ADD LOGO SMALL
{ "Content": "No slide content available to describe.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.0431961715221405, -0.24184851348400116, -0.04277561604976654, -0.16468429565429688, 0.058195360004901886, -0.9352297186851501, -0.029431354254484177, 0.05232800543308258, 0.2888348698616028, 0.7983130216598511, 0.5367170572280884, 0.19154492020606995, 0.2599947452545166, -0.3416605591773...
record8323588_pdf12_slide7
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
7
[ 0.33166226744651794, 0.4007086753845215, 0.5832971334457397, -0.9086151123046875, -0.0024361200630664825, -0.49048829078674316, 0.4064401388168335, 0.8140534162521362, 0.4790586829185486, 0.683525800704956, -0.04623102769255638, 0.10656501352787018, 0.5917624831199646, 0.32059210538864136,...
[ -0.2763732373714447, -0.03547368198633194, 0.3617658317089081, 0.0038108634762465954, 0.06945696473121643, -0.2602015733718872, 0.009084905497729778, -0.27083709836006165, 0.086362823843956, 0.23203127086162567, -0.46826377511024475, -0.20868489146232605, -0.1879442036151886, 0.17102847993...
[ 0.3444357216358185, -0.31568899750709534, 0.48047304153442383, -0.05628293380141258, 0.18190905451774597, -0.3217707872390747, -0.45388901233673096, 0.08825727552175522, 0.2402222752571106, 0.7578373551368713, -0.41292914748191833, -0.15832370519638062, 0.23707376420497894, 0.5755618810653...
Select image(s) to open in Fiji (1/2) 1. Select image(s) from the file tree 2. Open in Fiji by clicking Full Viewer and then View in ImageJ… p 7 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide8
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
8
[ 0.35330596566200256, 0.25716832280158997, 0.6480177640914917, -1.06621515750885, -0.08305342495441437, -0.6424127817153931, 0.30675843358039856, 0.7415911555290222, 0.3618674576282501, 0.8347331285476685, 0.07786720246076584, 0.06501809507608414, 0.39900001883506775, 0.14059926569461823, ...
[ -0.2677251696586609, -0.03482740744948387, 0.4496522843837738, -0.016526011750102043, 0.11997336149215698, -0.3025221824645996, 0.1445942372083664, -0.30568641424179077, 0.10838600993156433, 0.3390858769416809, -0.49754026532173157, -0.16775649785995483, -0.17532002925872803, 0.10982766747...
[ 0.43190130591392517, 0.06588532030582428, 0.018433334305882454, -0.8268054723739624, -0.009453047066926956, -0.40608152747154236, -0.4611486494541168, 0.14199066162109375, 0.45084142684936523, 1.034142017364502, -0.6039851903915405, -0.04384227097034454, 0.5463303327560425, 0.0333070904016...
Select image(s) to open in Fiji (2/2) OR 3. Open image(s) by right-click View and then View in ImageJ… (or double-click) p 8 ADD LOGO SMALL
{ "Content": "", "Style": "", "Language": "", "Knowledge Level": "", "Learning Perspective": "" }
[ 0.14633260667324066, -0.12895728647708893, -0.30976182222366333, -0.3894674479961395, -0.1489965319633484, -0.44797980785369873, 0.29982778429985046, -0.2666310667991638, 0.15478074550628662, 0.6774430274963379, 0.15395040810108185, 0.4520129859447479, 0.6754724383354187, -0.11448057740926...
record8323588_pdf12_slide9
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
9
[ 0.2209433913230896, 0.08958415687084198, 0.630046546459198, -0.5551087856292725, 0.25809380412101746, -0.11601985991001129, 0.7487291097640991, 0.3941272497177124, 0.26994428038597107, 0.33298811316490173, 0.1573849469423294, 0.34733763337135315, 0.45184776186943054, 0.5918815732002258, ...
[ -0.01283436082303524, 0.23687554895877838, -0.04786475747823715, 0.08380473405122757, -0.01043161004781723, -0.20419934391975403, -0.0012959892628714442, -0.05137326195836067, 0.19372184574604034, 0.28228870034217834, -0.14171956479549408, -0.4161626100540161, -0.21897776424884796, 0.00257...
[ 0.5530551671981812, -0.8394694328308105, 0.7466928958892822, -0.2187621146440506, 0.09412066638469696, -0.02595115639269352, -0.004475717898458242, -0.14224913716316223, 0.5667705535888672, 0.6152850389480591, -0.3013960123062134, -0.2216586172580719, 0.34584683179855347, 0.338689982891082...
Choose settings for loading the image(s) in Fiji Use your prefered settings to open the image(s) as required for your work p 9 ADD LOGO SMALL
{ "Content": "", "Style": "", "Language": "", "Knowledge Level": "", "Learning Perspective": "" }
[ 0.14633260667324066, -0.12895728647708893, -0.30976182222366333, -0.3894674479961395, -0.1489965319633484, -0.44797980785369873, 0.29982778429985046, -0.2666310667991638, 0.15478074550628662, 0.6774430274963379, 0.15395040810108185, 0.4520129859447479, 0.6754724383354187, -0.11448057740926...
record8323588_pdf12_slide10
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
10
[ 0.30325913429260254, 0.14618907868862152, 0.31732064485549927, -0.9796677827835083, 0.32954728603363037, -0.46540555357933044, 0.4414767324924469, 0.5459428429603577, 0.31266018748283386, 0.20426757633686066, 0.2697846293449402, 0.22471271455287933, 0.16852214932441711, 0.16553130745887756...
[ -0.18960805237293243, -0.2510893642902374, 0.0892816036939621, -0.03151912987232208, 0.02857992798089981, -0.434678316116333, 0.15862897038459778, -0.2661629319190979, 0.613150417804718, 0.21739992499351501, -0.1737760454416275, -0.4630759060382843, -0.43008753657341003, 0.0964420512318611...
[ 0.29969295859336853, -0.6651805639266968, 0.11380325257778168, -0.20128758251667023, 0.4278143346309662, 0.4189551770687103, -0.23210389912128448, -0.10548354685306549, 0.7170838117599487, 0.6344541907310486, -0.3545977473258972, -0.24165013432502747, 0.016031434759497643, 0.35679677128791...
View your images in Fiji and work with the image for processing and analysis p 10 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide11
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
11
[ 0.6030007004737854, 0.09779909253120422, 0.11959898471832275, -0.5745982527732849, 0.134414404630661, -0.32395070791244507, -0.5628160238265991, -0.22564660012722015, 0.4578206539154053, 1.4125664234161377, -0.07120136171579361, 0.10372452437877655, 0.5611513257026672, -0.02758773416280746...
[ -0.4474891722202301, 0.033840011805295944, 0.09537525475025177, -0.041193749755620956, -0.1858484447002411, -0.10414689034223557, 0.014412196353077888, -0.3241356611251831, 0.6746248006820679, 0.368492066860199, -0.2695199251174927, 0.17110194265842438, -0.5817820429801941, -0.073486492037...
[ 0.6531261205673218, 0.4032096862792969, -0.10467137396335602, -0.5604666471481323, 0.09907794743776321, 0.14775602519512177, -0.5592989325523376, -0.3448852300643921, 0.7474865317344666, 0.9375511407852173, 0.04839817434549332, -0.4320436418056488, 0.3777790069580078, -0.31158676743507385,...
Example – processing & analysis workflow to segment and count nuclei Perform your workflow in Fiji (here: segmentation and cell counting based on nuclear staining with DAPI) Gaussian blur Thresholding (Huang) Watershed Analyze Particles p 11 PerformedwithFiji: Schindelin, J., et al. Nat Methods 9, 676–682 (2012). https://doi.org/10.1038/nmeth.2019 ADD LOGO SMALL See also: Haase R. LectureBioImageAnalysis 2020: https://www.youtube.com/playlist?list=PL5ESQNfM5lc7SAMstEu082ivW4BDMvd0U
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide12
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
12
[ 0.6455076336860657, 0.08910219371318817, 0.05598670616745949, -0.3880104422569275, 0.10948670655488968, -0.46171557903289795, -0.48524945974349976, -0.05060320720076561, 0.6780258417129517, 1.2412736415863037, -0.08033604174852371, 0.16747628152370453, 0.3109849691390991, 0.328357905149459...
[ -0.09609641879796982, 0.061829641461372375, 0.12030584365129471, 0.182376429438591, -0.2101658582687378, -0.13698908686637878, -0.11172398924827576, -0.5818110704421997, 0.7240509390830994, 0.20992259681224823, -0.10910166054964066, -0.005356194917112589, -0.46056920289993286, 0.2720016539...
[ 0.7136768698692322, -0.30493199825286865, 0.30947068333625793, -0.07414407283067703, 0.21890011429786682, -0.22090518474578857, -0.8835129737854004, -0.26248615980148315, 0.6657692790031433, 0.8591935038566589, -0.27201199531555176, -0.47221335768699646, 0.3273410499095917, 0.2603360712528...
Example – processing & analysis workflow to segment and count nuclei Perform your workflow in Fiji (here: segmentation and cell counting based on nuclear staining with DAPI) p 12 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide13
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
13
[ 0.03650036081671715, 0.21455764770507812, -0.27932217717170715, -0.8203887939453125, -0.955316424369812, -0.39477309584617615, 0.7620017528533936, 0.1725405603647232, 0.2746425271034241, -0.033675722777843475, 0.13078530132770538, 0.1410927176475525, -0.028363587334752083, 0.34237405657768...
[ 0.11516726016998291, 0.3566600978374481, -0.488298624753952, 0.2942411005496979, -0.08951260149478912, 0.08468782156705856, -0.031864531338214874, -0.2589441239833832, 0.4812478721141815, -0.05018411949276924, -0.37865394353866577, -0.09984534978866577, -0.2775270938873291, -0.103924244642...
[ 0.2778049409389496, 0.14948667585849762, -0.2732609808444977, -0.36389294266700745, -0.6237820386886597, -0.20497778058052063, -0.02692369371652603, -0.04633098840713501, 0.6685592532157898, 0.3777180314064026, -0.17282432317733765, 0.2223326563835144, 0.11777381598949432, 0.62257063388824...
Save Regions of Interest (ROIs) and Measurement Results to OMERO Save to OMERO using the plugin Plugins → OMERO → Save ROIs to OMERO p 13 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide14
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
14
[ 0.17893756926059723, -0.397333025932312, 0.6820135116577148, -0.519135594367981, -0.2801790237426758, -0.47178953886032104, 1.0731329917907715, -0.023615267127752304, 0.5976357460021973, 0.05188484862446785, 0.3194195032119751, 0.2992384731769562, 0.4828079044818878, 0.5546541213989258, ...
[ 0.13929244875907898, 0.6167259216308594, -0.45753079652786255, -0.07817176729440689, -0.02111644297838211, 0.18903310596942902, 0.5376375913619995, -0.5071636438369751, -0.07616069912910461, 0.2238655537366867, -0.1968386322259903, -0.01853206381201744, 0.31918609142303467, -0.221217989921...
[ 0.4561585783958435, -0.40330708026885986, -0.1037832573056221, -0.09199625998735428, -0.7388408780097961, -0.548484742641449, 0.36325597763061523, 0.15205270051956177, 0.7307319641113281, 0.5103386044502258, -0.1714266687631607, 0.5559284090995789, 0.1208261027932167, 0.41890859603881836, ...
Choose settings for saving in OMERO 1 2 A B p 14 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide15
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
15
[ 0.44463637471199036, 0.10238216072320938, -0.625303328037262, -0.6889495253562927, 0.04797440022230148, -0.9997057914733887, 0.5085697770118713, 0.006475897505879402, 0.6341354250907898, 0.31674760580062866, 0.3401590585708618, 0.5220491290092468, 0.526494562625885, 0.1359165459871292, -...
[ 0.22898539900779724, 0.3631220757961273, -0.41216787695884705, 0.1987241506576538, 0.1247655600309372, -0.05855836346745491, 0.3669617772102356, -0.27649933099746704, 0.47544240951538086, 0.04112612456083298, -0.11762373149394989, -0.26005902886390686, -0.5988342761993408, -0.3486790657043...
[ 0.42270731925964355, 0.20454850792884827, -0.2260795682668686, -0.3560698926448822, -0.3248925507068634, -0.8096269369125366, -0.32035374641418457, -0.27689751982688904, 0.7231483459472656, 0.626884400844574, 0.002898076083511114, 0.24021990597248077, 0.4634731113910675, 0.3656053245067596...
A – Upload the mask image to OMERO as a new image Choose upload destination (Group, User, Project, Dataset) and upload 1 2 p 15 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide16
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
16
[ -0.02764570154249668, -0.014423523098230362, -0.06525454670190811, -0.5064011812210083, -0.5793243646621704, -0.7308830618858337, 0.07643260806798935, -0.19599373638629913, 0.2119397222995758, 0.4742157757282257, 0.16936223208904266, 0.6591547131538391, -0.018321868032217026, -0.1072556152...
[ -0.09834024310112, 0.21896463632583618, -0.03772076591849327, -0.4962194561958313, -0.33262893557548523, 0.16420294344425201, 0.1288384050130844, -0.19466865062713623, 0.39921918511390686, -0.19528836011886597, -0.30841323733329773, -0.4157710075378418, -0.18121077120304108, 0.150378346443...
[ -0.15726898610591888, 0.0038520002271980047, -0.288862019777298, -0.06544218212366104, -0.4826072156429291, -0.6525851488113403, -0.2515037953853607, -0.45484018325805664, 0.578860878944397, 0.48965543508529663, -0.23375681042671204, 0.405757874250412, 0.07099483162164688, 0.23194637894630...
A – View the imported mask image and the analysis results (e.g., in OMERO.web) ROI image uploaded as new file Results uploaded (new ID!) as attachment in csv-format p 16 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide17
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
17
[ -0.21708180010318756, -0.167772576212883, 0.09809161722660065, -0.9502400159835815, -0.2406931221485138, -0.7485926151275635, 0.9377752542495728, -0.11174565553665161, 0.10205970704555511, 0.3868629038333893, 0.28365087509155273, 0.39266836643218994, 0.0018460792489349842, 0.61134368181228...
[ 0.24015673995018005, 0.5757026672363281, 0.027374671772122383, -0.04045381024479866, 0.05545946955680847, -0.20928382873535156, 0.26638516783714294, -0.4645211696624756, 0.9526544213294983, -0.260856956243515, -0.3905928134918213, -0.033297400921583176, -0.3195793926715851, 0.0628036558628...
[ 0.20326609909534454, 0.31108352541923523, -0.05204876884818077, -0.7957562208175659, -0.6015575528144836, -0.5774683356285095, -0.10827741026878357, -0.22862565517425537, 0.5898325443267822, 0.6240423917770386, -0.01292815338820219, 0.1726057380437851, 0.12217206507921219, 0.50363111495971...
B – Add the ROI to the orginal image in OMERO Review the ROIs on the original image with OMERO.iviewer p 17 ADD LOGO SMALL
{ "Content": "No slide was provided for analysis.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.030718015506863594, -0.03355105221271515, -0.04376251995563507, -0.056974753737449646, -0.3709310293197632, -0.8085917830467224, 0.2902778089046478, -0.06569992750883102, 0.16152352094650269, 0.847435474395752, 0.6100239157676697, 0.1667363941669464, 0.12504670023918152, -0.4555673301219...
record8323588_pdf12_slide18
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
18
[ -0.0732080265879631, -0.06739628314971924, 0.5296656489372253, -0.5990625619888306, -0.42865169048309326, -0.8266246318817139, 0.6183197498321533, 0.3558785617351532, 0.11811907589435577, 0.27422788739204407, 0.548055112361908, 0.09968321025371552, 0.2767656147480011, 0.2728795111179352, ...
[ 0.11774957925081253, 0.08398468792438507, 0.38320374488830566, -0.12395340204238892, -0.026580503210425377, -0.07087086141109467, -0.04407111182808876, -0.2755589485168457, 0.9492334127426147, -0.1962989717721939, -0.11124704033136368, 0.11707804352045059, -0.09983602911233902, 0.248935535...
[ 0.40890634059906006, 0.6266838312149048, 0.12063198536634445, -0.7409877777099609, -0.46132907271385193, -0.7847350239753723, -0.008132281713187695, 0.1984243094921112, 0.7278746366500854, 0.7316681742668152, 0.2545377016067505, -0.006383264437317848, 0.20042744278907776, -0.23338469862937...
A and B combined In the OMERO.iviewer you can copy the ROI from the segementation image to the original image manually, too. 2. Copy to 3. Paste to clipboard the selected original image 1. Select all ROIs (Ctrl+A) p 18 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide19
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
19
[ 0.6449199318885803, 0.17622259259223938, -0.08141615241765976, -0.2027006447315216, -0.35257795453071594, 0.038665495812892914, 0.15290400385856628, 0.3852364718914032, 0.8119702935218811, 0.9917702674865723, -0.5294559001922607, 0.22747202217578888, -0.15289637446403503, 0.192264407873153...
[ -0.0008135633543133736, 0.4426995515823364, -0.0830247551202774, 0.3761920928955078, 0.18673165142536163, 0.03689109906554222, 0.01991739124059677, -0.3223043978214264, 0.6242416501045227, 0.28118449449539185, -0.04388680309057236, -0.39613649249076843, -0.7123588919639587, -0.116317979991...
[ 0.6049438118934631, -0.02163240686058998, 0.25084853172302246, -0.08096598833799362, -0.3922373652458191, -0.2974492609500885, -0.35098403692245483, -0.08737723529338837, 0.600212037563324, 1.0080732107162476, -0.19285812973976135, 0.2970767319202423, -0.21364045143127441, 0.44273093342781...
Batch processing, macros and scripts for Fiji and OMERO Running image analysis pipelines with Fiji over several images from OMERO in batch is possible, too. Recommended: OMERO Macro Extension & OMERO batch plugin Example: https://omero-guides.readthedocs.io/en/latest/fiji/docs/index.html p 19 ADD LOGO SMALL Pouchinet al., F1000Research 2022, 11:392 (https://doi.org/10.12688/f1000research.110385.1)
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide20
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
20
[ 0.2345900684595108, -0.09162676334381104, -0.3739003539085388, -0.013907604850828648, -0.13659825921058655, -0.4867129623889923, -0.23893217742443085, -0.12392957508563995, 0.4083706736564636, 0.9873190522193909, -0.5041727423667908, 0.23735113441944122, -0.2658979296684265, -0.01041860319...
[ 0.24657407402992249, 0.1219756007194519, -0.5089801549911499, 0.4847995340824127, 0.27570641040802, -0.09670189023017883, 0.29432621598243713, -0.06245801970362663, 0.5017874240875244, 0.13738946616649628, -0.2833870053291321, -0.29874715209007263, -0.24985413253307343, 0.077031210064888, ...
[ 0.3676905035972595, -0.22296899557113647, 0.03189342841506004, 0.03472921997308731, -0.01205996423959732, -0.31850385665893555, -0.4053863286972046, -0.3119940161705017, 0.34045904874801636, 0.7121140360832214, -0.4170122742652893, -0.056386176496744156, -0.18167036771774292, 0.07083377987...
JiPipe visual macro programming with a connection to OMERO Batch processing in Fiji/ImageJ and the connection to OMERO can now be established with a graphical user interface (GUI) in the software JiPipe: p 20 ADD LOGO SMALL Gerstet al., Nat Methods 20, 168–169 (2023). https://doi.org/10.1038/s41592-022-01744-4
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf12_slide21
8323588
202310_GENERAL_OMERO_Material_08_OMERO-Fiji.pdf
21
[ 0.7086845636367798, 0.32790812849998474, -0.26413533091545105, -0.4849278926849365, -0.2252528965473175, -0.15959569811820984, 0.04134238883852959, 0.3123247027397156, 0.5966202020645142, 0.8942923545837402, 0.19784018397331238, -0.003444122150540352, 0.5848120450973511, -0.261666536331176...
[ -0.17163585126399994, 0.397691935300827, 0.14861969649791718, 0.4828844666481018, 0.11256319284439087, 0.014402450993657112, -0.04976949095726013, -0.24912399053573608, 0.49371030926704407, 0.2926912009716034, -0.23251578211784363, -0.4741698205471039, -0.8983722925186157, -0.2543439865112...
[ 0.4300532042980194, 0.23172727227210999, -0.32652759552001953, -0.36270642280578613, -0.3116191029548645, -0.06157591566443443, 0.2920469641685486, 0.3308197259902954, 0.9201340675354004, 0.6196582913398743, 0.13732433319091797, -0.3375617265701294, 0.5123382210731506, -0.05358369275927543...
Extended resources on using Fiji and OMERO Official OMERO guide: https://omero-guides.readthedocs.io/en/latest/fiji/docs/index.html A workshop on image analysis with Fiji and OMERO: https://learning.rc.virginia.edu/notes/fiji-omero/ Workshop recordings by the Open Microscopy Environment Consortium on YouTube, including scripting in Fiji: https://www.youtube.com/watch?v=W5EDx3yKA_o (https://www.youtube.com/watch?v=dOtnEO-nmIg) Image Analysis Lecture by Robert Haase (TU Dresden): https://www.youtube.com/playlist?list=PL5ESQNfM5lc7SAMstEu082ivW4BDMvd0U Help for Image Analysis or OMERO-related issues - Image.sc forum: https://image.sc p 21 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide1
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
1
[ 0.4003327786922455, -0.3364914357662201, 0.3998107612133026, -0.4730997383594513, -0.5025676488876343, 0.12307329475879669, -0.24336671829223633, -0.3277849555015564, 0.2950715124607086, 0.5909249782562256, -0.0886557474732399, 0.05236539617180824, 0.4543188214302063, 0.14205734431743622, ...
[ -0.0362841933965683, 0.4615691304206848, 0.018533790484070778, 0.1250918060541153, 0.3479548394680023, -0.14664003252983093, -0.15382659435272217, 0.12567217648029327, -0.03385606408119202, 0.07762672752141953, -0.05682086572051048, 0.11826001852750778, -0.5757606029510498, 0.0671770870685...
[ 0.2076949179172516, -0.5662645101547241, 0.37479016184806824, -0.3449438214302063, -0.11970317363739014, 0.0010689530754461884, -0.353530615568161, -0.6900021433830261, 0.14827966690063477, 0.3379015624523163, -0.1485293209552765, -0.46197354793548584, 1.1472582817077637, 0.100782796740531...
I3D:bio OMERO user training slides HOW TO USE THE SLIDE TEMPLATES • To use your institution‘s slide design and logo, adjust the slides of this presentation using the „slide master“ Note that these slides are optimized for 16:9 screen presentation layout • Check the slides for yellow-marked text and insert the information according to your own institute‘s infrastructure. • Feel free to use this material for videos, teaching, guidelines, etc., at your institute • Please cite us (e.g., on page 1) when re-using this material or derivatives of it: Adaptedfrom: Schmidt C., Bortolomeazzi M., Boissonnet T., Fortmann-Grote C. et al. (2023). I3D:bio‘s OMERO training material: Re-usable, adjustable, multi-purpose slides for local user training. Zenodo.DOI: 10.5281/zenodo.8323588. Ifnot statedotherwise, thecontentof thismaterial (exceptforlogosand theslidedesign) ispublishedunderCreative Commons Attribution 4.0 license. • If not stated otherwise, the content of this material (except for logos) is published under a Creative Commons Attribution 4.0 license. • This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 462231789 (Information Infrastructure for BioImage Data, I3D:bio)
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide2
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
2
[ 0.39082568883895874, -0.2858750522136688, 0.3883024752140045, -0.3718646168708801, -0.5964246988296509, 0.09893806278705597, -0.0872352123260498, -0.18973436951637268, 0.34386569261550903, 0.6081237196922302, -0.06412533670663834, -0.1770971417427063, 0.5499892234802246, -0.234915405511856...
[ 0.015485864132642746, 0.6061742901802063, -0.023073988035321236, -0.21707914769649506, -0.18922147154808044, 0.2205713540315628, 0.169048473238945, 0.14366544783115387, 0.37026354670524597, 0.31798601150512695, 0.11334168165922165, -0.2017860859632492, 0.12837360799312592, 0.01869031786918...
[ -0.11375104635953903, -0.7004762291908264, 0.72219318151474, -0.02008172683417797, -0.09787627309560776, 0.12079131603240967, -0.0818338543176651, -0.9072399139404297, 0.1541583091020584, 0.08247058093547821, 0.40346965193748474, -0.6315716505050659, 0.70467609167099, 0.3328596353530884, ...
Disclaimer • The following slides are intended for reuse after substituting yellow-marked text with the relevant Information Infrastructure forBioImageData information at your institute. https://www.i3dbio.de • Some content may not apply to the specific setup of the OMERO installation at your institute. The content reflects solely the authors’ opinions and does not speak on behalf of the original software, its FundedbytheDeutsche developers, or other cited community resources. Forschungsgemeinschaft (DFG, German Research Foundation), projectI3D:bio, grantnumber462231789 Adaptedfrom: Schmidt C., Bortolomeazzi M., Boissonnet T., Fortmann-Grote C. et al. (2023). I3D:bio‘s OMERO training material: Re-usable, adjustable, multi-purpose slides for local user training. Zenodo.DOI: 10.5281/zenodo.8323588 Ifnot statedotherwise, thecontentof thismaterial (exceptforlogosand theslidedesign) ispublishedunderCreative Commons Attribution 4.0 license.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide3
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
3
[ 0.04041386395692825, -0.24210022389888763, -0.007067936472594738, -0.7222810983657837, 0.013190340250730515, 0.060510676354169846, 0.18862007558345795, -0.17522193491458893, 0.4858032763004303, 0.5639199018478394, -0.3228161036968231, -0.04541921988129616, 0.6100447773933411, -0.1990016698...
[ 0.15470321476459503, 0.7445358037948608, -0.5100031495094299, 0.12253253906965256, -0.01612069085240364, 0.13993188738822937, -0.30383116006851196, -0.047818586230278015, 0.8508914113044739, 0.1900259554386139, -0.06019645556807518, -0.3028152883052826, -0.45629915595054626, -0.21831282973...
[ 0.08771239221096039, -0.3960319459438324, 0.07379016280174255, -0.6656321287155151, 0.3092693090438843, 0.12764933705329895, -0.22718076407909393, -0.1975598782300949, 0.5977022051811218, 0.026903800666332245, -0.0745752826333046, -0.2898411452770233, 0.8894518613815308, -0.123184405267238...
Research Data Management for Bioimage Data at the ADD INSTITUTE HERE More functions, extensions, and ways to use OMERO ADD AUTHOR / RESPONSIBLE PERSON FROM YOUR INSTITUE Information Infrastructure forBioImageData Adaptedfrom: Schmidt C., Bortolomeazzi M., Boissonnet T., Fortmann-Grote C. et al. (2023). I3D:bio‘s OMERO training ADD LOGO material: Re-usable, adjustable, multi-purpose slides for local user training. Zenodo.DOI: 10.5281/zenodo.8323588 Ifnot statedotherwise, thecontentof thismaterial (exceptforlogosand theslidedesign) ispublishedundera Creative BIG Commons Attribution 4.0 license.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide4
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
4
[ 0.44340983033180237, -0.6187666654586792, -0.5239160656929016, -0.27310580015182495, -0.18849188089370728, 0.33905574679374695, 0.16102559864521027, -0.0052046505734324455, 0.6453621983528137, 0.6233012676239014, -0.490588515996933, -0.3791405260562897, 0.2560141980648041, 0.43118402361869...
[ 0.4207274913787842, 0.5682802796363831, -0.026686226949095726, 0.17358167469501495, 0.035562194883823395, -0.01801224797964096, 0.06876590102910995, -0.06513725221157074, 0.8422148823738098, -0.012513893656432629, -0.029637165367603302, -0.3514564335346222, -0.19083206355571747, -0.2864993...
[ 0.24620644748210907, -0.4346846342086792, -0.2055438905954361, -0.2907978892326355, -0.0351983979344368, 0.2597283720970154, -0.19864442944526672, -0.09070286154747009, 0.6859825253486633, 0.5264114737510681, -0.5579843521118164, -0.30604055523872375, 0.07604124397039413, 0.273023784160614...
Review: OMERO for Bioimaging Data Management • OMERO is an open-source software to allow centralized, secure, collaborative, and interactive storage and management of microscopy data. • Data is well organized, and groups (with different permission levels) can access and edit data collaboratively. • OMERO can be accessed by users via clients (e.g., desktop client or web client) and combined with other software (Fiji, QuPath, etc.). • Structured metadata annotation allows for flexible data organization and enrichment. In particular, Tags and Key-Value-Pairs add value to the data. • OMERO can be used with scripts and extensions for many different functions. What more can you do with OMERO? p 4 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide5
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
5
[ 0.2426602691411972, 0.28626748919487, -0.11983417719602585, -0.6895871162414551, -0.43390539288520813, 0.270532488822937, 0.19847993552684784, 0.16137851774692535, 0.7327094078063965, 0.4737653434276581, -0.013552533462643623, 0.44676291942596436, 0.17038170993328094, 0.4028458595275879, ...
[ 0.06896338611841202, 0.6671403646469116, -0.20260222256183624, 0.08805416524410248, -0.04551856219768524, 0.3744567632675171, 0.5085550546646118, 0.04738762602210045, 0.3105211853981018, 0.19891421496868134, 0.059936173260211945, -0.5251137614250183, -0.752768874168396, -0.2312166541814804...
[ 0.24721868336200714, -0.030669840052723885, 0.016933979466557503, -0.2642640173435211, -0.6587944030761719, 0.2994987368583679, -0.10011059790849686, 0.2054165005683899, 1.0043343305587769, 0.5000502467155457, 0.21605470776557922, 0.495686799287796, 0.05627354234457016, 0.3544599711894989,...
More Extensions, Scripts, and Plugins • OMERO.iviewer – Explore images and adjust settings • OMERO.figure – Create publication figures in OMERO • OMERO.parade – Data Mining in metadata and analysis results in OMERO • OMERO.table – attach tabular results to your images/datasets/projects • OMERO.downloader – retrieve original files from the OMERO server • OMERO.openLink – share access to your data in OMERO and download data from the web More extensions (not shown in this slideshow): • OMERO.mapr – Standardize search fields in the OMERO instance • OMERO.FPBioimage – a 3D volume rendering tool for images in OMERO • ezomero („easy OMERO“) – a collection of command line tools for OMERO Note: These extensions, scripts, and plugins may or may not be installed in your OMERO instance. Please check for their availability. Contact your OMERO administrator if the required features are missing. p 5 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide6
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
6
[ 0.3933527171611786, 0.1243070587515831, 0.22892038524150848, -0.6618115901947021, -0.5006004571914673, -0.029030082747340202, 0.31987905502319336, 0.14329341053962708, 0.776075541973114, 1.018568754196167, 0.3491029143333435, 0.26313889026641846, 0.053700268268585205, 0.4129890203475952, ...
[ 0.18289566040039062, -0.051223766058683395, 0.327869176864624, -0.34791669249534607, -0.1607150435447693, 0.23784996569156647, 0.040405239909887314, -0.38364124298095703, 0.6929486989974976, -0.006925772409886122, -0.10129503160715103, -0.16689971089363098, -0.3868201971054077, 0.520643234...
[ 0.5023824572563171, -0.2868752181529999, -0.014901872724294662, -0.28586888313293457, -0.029372885823249817, 0.25257939100265503, -0.3017604947090149, -0.28494951128959656, 0.799723744392395, 0.7786299586296082, -0.04635043069720268, -0.7819223999977112, 0.026179950684309006, 0.33818167448...
OMERO.iviewer – Explore your images and adjust settings Learn how to use OMERO.iviewer: OMERO.iviewer for beginners introduction (P. Walczysko): https://www.youtube.com/watch?v=xshaOwmoqe0 (~8 min) OMERO.iviewer guide: https://omero-guides.readthedocs.io/en/latest/iviewer/docs/index.html (read online) p 6 ADD LOGO SMALL https://www.openmicroscopy.org/omero/iviewer/(last access: 2023-08-24)
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide7
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
7
[ 0.10691741853952408, 0.15604445338249207, -0.07358535379171371, -1.112594723701477, -0.0800846591591835, -0.20445886254310608, 0.5829795598983765, 0.2954391837120056, 0.85458904504776, 0.6349154710769653, -0.28815725445747375, 0.08168097585439682, 0.6537700295448303, 0.3408450186252594, ...
[ 0.19450294971466064, -0.0393463671207428, -0.25992491841316223, -0.25187185406684875, 0.08201567083597183, 0.08255580812692642, 0.10149125754833221, -0.4109317362308502, 0.9564793705940247, 0.05591767281293869, 0.10397432744503021, -0.29692384600639343, -0.5675758123397827, 0.0397119894623...
[ 0.2724224925041199, -0.16381901502609253, -0.03912267088890076, -0.7470580339431763, 0.307435005903244, -0.30340588092803955, 0.3107900023460388, -0.06320823729038239, 0.5902439951896667, 0.536294162273407, -0.11410750448703766, -0.07308351993560791, 0.060251038521528244, 0.241263642907142...
OMERO.figure – create publication-ready figures in OMERO • Images are linked to original files (no JPEG/TIFF/PNG exports!) • Export your figure to a vector pdf • Access the original images from the figure at any time • Automatize inset creation and labelling Learn how to use OMERO.figure: OMERO.figure for beginners introduction (P. Walczysko): https://www.youtube.com/watch?v=i3jXplmD81s (~20 min) OMERO.figure workshop (W. Moore): https://www.youtube.com/watch?v=E0Fgw1uUAXA&t=1440s (~35 min) EPFL BIOP OMERO Wiki: https://wiki-biop.epfl.ch/en/Image_Storage/OMERO/OMEROFigure (online read & video demo) OMERO.figure demo by E. Ratamero: https://www.youtube.com/watch?v=YeCFaB7VAAQ (~10 min) p 7 ADD LOGO SMALL Official guide: https://omero-guides.readthedocs.io/en/latest/figure/docs/index.html
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide8
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
8
[ 0.26366251707077026, 0.10060786455869675, 0.12887905538082123, -0.5399991273880005, -0.1332925409078598, -0.09756334871053696, 0.1033199205994606, -0.37959691882133484, 0.9781785607337952, 0.4873928427696228, -0.5853330492973328, 0.09373845160007477, 0.06802570074796677, 0.1075441837310791...
[ -0.036011144518852234, 0.0795646384358406, -0.04086233675479889, 0.07428938150405884, -0.16750572621822357, 0.12777361273765564, 0.1767883151769638, -0.36402231454849243, 0.8518357872962952, -0.0877271220088005, 0.30297061800956726, -0.34637483954429626, -0.25212526321411133, 0.22081649303...
[ 0.33996152877807617, 0.2222442328929901, 0.11636713892221451, -0.6581765413284302, 0.33774417638778687, 0.006214639637619257, -0.057489942759275436, -0.5657811760902405, 0.9497358202934265, 0.5120886564254761, -0.3147592544555664, -0.43771055340766907, 0.08113885670900345, 0.06397563964128...
OMERO.parade – data mining in metadata and analysis results • Review pooled metadata, annotation quantifications, or csv-table based analysis results in dot-plots or tables within OMERO. • Access the original linked image directly from the dots in the dot-plot • NOTE: • Specificformattingrequirementsfor csv attachments from analysis results must be met! (e.g., use “,“ and not “;“ as the delimiter!) • Datasets must be outside of Projects for the analysis to work. Learn how to use OMERO.parade: OMERO.parade introduction (P. Walczysko): https://www.youtube.com/watch?v=Bmi31J04A_E (~20 min) EPFL BIOP OMERO wiki: https://wiki-biop.epfl.ch/en/Image_Storage/OMERO/OmeroParade (read online) p 8 ADD LOGO SMALL Official Guide: https://omero-guides.readthedocs.io/en/latest/parade/docs/index.html
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide9
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
9
[ 0.23404380679130554, -0.12376102060079575, 0.32824060320854187, -0.3062741756439209, -0.44433659315109253, 0.09333222359418869, 0.18121807277202606, 0.08272964507341385, 1.009053349494934, 0.28771692514419556, -0.6148967742919922, -0.050923291593790054, -0.14137205481529236, 0.475463628768...
[ 0.6394904851913452, 0.6218344569206238, -0.10001321136951447, -0.47319692373275757, 0.18549200892448425, 0.08835677057504654, 0.4347350299358368, -0.17220409214496613, 0.6730690598487854, -0.09513188153505325, -0.19280743598937988, -0.2968093156814575, -0.6537476778030396, 0.22179099917411...
[ 0.10330132395029068, 0.28055381774902344, 0.3138115406036377, -0.390911340713501, -0.29171574115753174, -0.256156325340271, -0.25844964385032654, 0.0005004177801311016, 0.8542060256004333, 0.4127272069454193, -0.20797429978847504, -0.04076336324214935, -0.19242769479751587, 0.4935571551322...
OMERO.table – attach tabular results to your images/datasets/projects • Attach analysis results to your data in an OMERO.table- compatible format • Add the Table as „Bulk Annotations“ linking results to images in OMERO via the „Populate_metadata“ script • Use the table in OMERO.parade • NOTE: • Specific formatting requirements for csv attachments from analysis results must be met! (e.g., use “,“ and not “;“ as the delimiter!) Learn how to use OMERO.table: OMERO.table demo (P. Walczysko): https://www.youtube.com/watch?v=TigomaUmIx4&t=7586s (~ 5 min) EPFL BIOP OMERO wiki: https://wiki-biop.epfl.ch/en/Image_Storage/OMERO/OmeroTable (read online) p 9 ADD LOGO SMALL Official Guide: https://omero-guides.readthedocs.io/en/latest/parade/docs/index.html
{ "Content": "No slide was provided for analysis.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.030718015506863594, -0.03355105221271515, -0.04376251995563507, -0.056974753737449646, -0.3709310293197632, -0.8085917830467224, 0.2902778089046478, -0.06569992750883102, 0.16152352094650269, 0.847435474395752, 0.6100239157676697, 0.1667363941669464, 0.12504670023918152, -0.4555673301219...
record8323588_pdf13_slide10
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
10
[ 0.43858274817466736, 0.11118007451295853, -0.6059513688087463, -0.2877889573574066, -0.3396737575531006, -0.24306370317935944, -0.19928239285945892, -0.02789347991347313, 1.147345781326294, 0.7974001169204712, -0.33195430040359497, -0.18752922117710114, 0.3778505325317383, 0.06732147186994...
[ 0.26328137516975403, 0.5869627594947815, 0.05104644224047661, -0.16618548333644867, 0.3124813139438629, 0.2700756788253784, 0.3214424252510071, -0.16014955937862396, 0.34549760818481445, 0.6042734980583191, 0.13574852049350739, 0.01606428623199463, -0.28190261125564575, 0.00539718102663755...
[ 0.5951815843582153, 0.16370685398578644, -0.42888402938842773, -0.23371440172195435, -0.41586506366729736, -0.3682236075401306, -0.4933648407459259, -0.41007956862449646, 1.0099565982818604, 0.6805484294891357, -0.26875564455986023, -0.3587949872016907, 0.6265365481376648, -0.1599837243556...
OMERO.downloader – retrieve original files from OMERO in batch • OMERO.web offers • Download of original image files at single image level • Batch export (e.g., to OME- TIFF) of Datasets • OMERO.downloader offers: • Download of original image files in batch from the OMERO server • NOTE: • OMERO.downloader is a commandline tool, and it requires the user to be at least comfortablewith some level of command line usage, and java installation. Learn how to retrieve and use the OMERO.downloader: https://github.com/ome/omero-downloader/tree/master p 10 ADD LOGO SMALL
{ "Content": "No slide image was provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.12132338434457779, -0.24662642180919647, 0.027810383588075638, -0.20069503784179688, -0.12011156231164932, -0.8343220353126526, 0.15821364521980286, -0.04762403666973114, 0.2026352435350418, 0.7353361248970032, 0.5224205851554871, 0.021793795749545097, 0.3290523588657379, -0.157067090272...
record8323588_pdf13_slide11
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
11
[ -0.4128953814506531, -0.25726914405822754, -0.4882970452308655, -0.5816964507102966, -0.25204741954803467, -0.27403339743614197, 0.5896753668785095, 0.1084238663315773, 0.6055104732513428, 0.5134332180023193, -0.13061127066612244, 0.1779789924621582, 0.5163915753364563, 0.28472939133644104...
[ 0.2684425115585327, 0.7970473170280457, -0.055183373391628265, -0.17871566116809845, 0.10649915039539337, -0.1630549132823944, 0.6420296430587769, -0.5997889041900635, 0.2216922491788864, 0.062278132885694504, -0.16003572940826416, -0.061133384704589844, 0.2298155426979065, 0.1318434625864...
[ -0.16030383110046387, 0.1058734580874443, -0.5437585115432739, -0.17512750625610352, -0.463334321975708, -0.1498270034790039, -0.38166192173957825, -0.35599976778030396, 0.7635533213615417, 0.6364113688468933, -0.5804161429405212, -0.0521552711725235, 0.5704867839813232, 0.3694943487644195...
OMERO.openLink – batch download from OMERO.web Learn more about OMERO.openLink: https://github.com/sukunis/OMERO.openlink (last access: 2023-08-24) p 11 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide12
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
12
[ 0.3986336290836334, -0.10759133845567703, -0.6178871989250183, -0.5212697982788086, -0.2367006242275238, 0.5388416051864624, 0.17853973805904388, -0.030689319595694542, 1.0190649032592773, 1.1299400329589844, -0.26582902669906616, 0.31298258900642395, 0.05766256898641586, 0.407878339290618...
[ -0.12681783735752106, 0.6786198616027832, -0.06962233036756516, -0.02547694742679596, 0.127238929271698, 0.20260010659694672, -0.05479732155799866, -0.03506053239107132, 0.4051835834980011, -0.16591455042362213, -0.1645483821630478, -0.22655436396598816, -0.7789968252182007, 0.172008424997...
[ 0.3470954895019531, -0.17944490909576416, 0.10274173319339752, -0.20271320641040802, -0.07635592669248581, 0.3127608001232147, -0.2657276690006256, -0.17331083118915558, 0.9032614827156067, 0.8933404684066772, -0.3354094326496124, -0.10832814872264862, -0.05351511761546135, 0.2318812608718...
OMERO-interoperable analysis tools OMERO and image analysis software or platforms (examples) • Fiji (Chapter 8) • QuPath https://github.com/qupath/qupath-extension-omero • Galaxy Imaging https://usegalaxy-eu.github.io/posts/2020/11/23/OMERO-post/ • Napari https://www.napari-hub.org/plugins/napari-omero • BioImage IT Prigent et al. Nat Methods (2022) doi: 10.1038/s41592-022-01642-9 • Jupyter Notebook & Cell Profiler: https://omero-guides.readthedocs.io/en/latest/cellprofiler/docs/cellprofiler.html See more: https://omero-guides.readthedocs.io/en/latest/external_tools.html p 12 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide13
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
13
[ 0.6353973150253296, -0.12815916538238525, 0.16859911382198334, 0.32312509417533875, -0.9870901703834534, 0.21830633282661438, -0.12448673695325851, 0.0641125738620758, 0.7272006869316101, 0.4622490108013153, -0.5746402740478516, 0.17068623006343842, 0.007212212309241295, 0.7239302396774292...
[ -0.05333591252565384, 0.27198436856269836, -0.017253104597330093, 0.3049743175506592, 0.1470864713191986, 0.16699634492397308, 0.21525180339813232, -0.043124325573444366, 0.2570553421974182, 0.20109476149082184, 0.024252552539110184, -0.29249462485313416, -0.8828749656677246, -0.0782209560...
[ 0.4951936900615692, -0.4972859025001526, 0.555307149887085, 0.22082261741161346, -0.581280529499054, 0.26223838329315186, -0.4872875213623047, -0.14562012255191803, 0.6519367694854736, 0.4835096299648285, -0.34255942702293396, -0.42914316058158875, 0.24830912053585052, 0.45961469411849976,...
OMERO for HCS OMERO works for High-Content Screens and multi-well plate assays: Li et al.: Metadata management for high content screening in OMERO, Methods, Volume 96, 2016, Pages 27-32, ISSN 1046-2023, https://doi.org/10.1016/j.ymeth.2015.10.006 Hosseini, R., Vlasveld, M., Willemse, J. et al. FAIR High Content Screening in Bioimaging. Sci Data 10, 462 (2023). https://doi.org/10.1038/s41597-023-02367-w p 13 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf13_slide14
8323588
202310_GENERAL_OMERO_Material_09_More.pdf
14
[ 0.021066494286060333, -0.10561561584472656, -0.3978584408760071, -0.8436797261238098, -0.3661339581012726, -0.3954317271709442, 1.2985001802444458, 0.3799550235271454, 0.4214850962162018, 0.7155159711837769, 0.5321424007415771, 0.213999941945076, 0.12332696467638016, 0.10413682460784912, ...
[ 0.1734822690486908, 0.6008456945419312, -0.26401790976524353, -0.11835397034883499, 0.12966550886631012, 0.03676862642168999, 0.07783883064985275, -0.2715546190738678, -0.08449753373861313, 0.11205635964870453, -0.22327525913715363, -0.14287292957305908, -0.4219781756401062, -0.35848385095...
[ 0.016623064875602722, -0.1485155075788498, -0.1723712831735611, -0.41970762610435486, -0.1113080307841301, -0.14825470745563507, 0.47240176796913147, 0.04050535336136818, 0.631537139415741, 0.4229736924171448, 0.3231007754802704, -0.06295701116323471, 0.3605656921863556, 0.5034870505332947...
OMERO guide – your central knowledge resource Check out the OMERO guide for all questions around OMERO: https://omero-guides.readthedocs.io/en/latest/ p 14 ADD LOGO SMALL
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf14_slide1
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
1
[ 0.3798447251319885, -0.3420906066894531, 0.05135142430663109, -0.5139412879943848, -0.5244818329811096, 0.09744624048471451, -0.2229197770357132, -0.3893670439720154, 0.40291473269462585, 0.9355461597442627, -0.25533050298690796, -0.31710681319236755, 0.2404526174068451, 0.0249645225703716...
[ -0.03637245297431946, 0.08718305081129074, -0.04648060351610184, 0.07743451744318008, -0.11794479936361313, 0.5632634162902832, -0.30465933680534363, 0.9876164197921753, 0.65120929479599, 0.18046008050441742, 0.25006911158561707, 0.12278860807418823, -0.531292736530304, 0.5052306056022644,...
[ 0.3358604907989502, -0.6959608793258667, 0.6166226863861084, -0.6150275468826294, -0.07901322841644287, 0.09461457282304764, 0.08780814707279205, -0.4207051396369934, 0.621132493019104, 0.4983215928077698, -0.2597014009952545, -0.2722727656364441, 0.24821849167346954, 0.33518654108047485, ...
I3D:bio‘s OMERO training material: Re-usable, adjustable, multi-purpose slides for local user training Christian Schmidt1* , Michele Bortolomeazzi1 , Tom Boissonnet2 , Carsten Fortmann- Grote3 , Niraj Kandpal4 , Peter Zentis4 , Julia Dohle5, Thomas Zobel5 , Susanne Kunis6 , Stefanie Weidtkamp-Peters2 , Elisa Ferrando-May1 1) DKFZ German Cancer Research Center, Heidelberg, Germany 2) Heinrich Heine Universität, Düsseldorf, Germany 3) Max Planck Institute for Evolutionary Biology, Plön, Germany 4) CECAD Imaging Facility, University of Cologne, Germany 5) Münster Imaging Network, University of Münster, Germany 6) Integrated Bioimaging Facility Osnabrück at CellNanOs, University of Osnabrück *Correspondence should be addressed to: christian01.schmidt@dkfz-heidelberg.de Abstract: The open-source software OME Remote Objects (OMERO) is a data management software that allows storing, organizing, and annotating bioimaging/microscopy data. OMERO has become one of the best-known systems for bioimage data management in the bioimaging community. The Information Infrastructure for BioImage Data (I3D:bio) project facilitates the uptake of OMERO into research data management (RDM) practices at universities and research institutions in Germany. Since the adoption of OMERO into researchers’ daily routines requires intensive training, a broad portfolio of training resources for OMERO is an asset. On top of using the OMERO guides curated by the Open Microscopy Environment Consortium (OME) team, imaging core facility staff at institutions where OMERO is used often prepare additional material tailored to be applicable for their own OMERO instances. Based on experience gathered in the Research Data Management for Microscopy group (RDM4mic) in Germany, and in the use cases in the I3D:bio project, we created a set of reusable, adjustable, openly available slide decks to serve as the basis for tailored training lectures, video tutorials, and self-guided instruction manuals directed at beginners in using OMERO. The material is published as an open educational resource complementing the existing resources for OMERO contributed by the community. Introduction: Microscopy data is generated throughout the life sciences and beyond, producing images and derived quantitative data in heterogeneous formats. Data management in bioimaging is challenging due to large file sizes, various proprietary file formats, divergent metadata records and formats, and the multitude of bioimaging modalities in modern research [1-3]. Among other solutions, the OME Remote Objects (OMERO) software, released as open- source software by the Open Microscopy Environment Consortium (OME), constitutes a tool allowing the centralized storage, sharing, annotation, and interrogation of imaging data [4, 5]. OMERO leverages the Bio-Formats library to access proprietary file formats,
{ "Content": "No slide content available.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10292366147041321, -0.07624047249555588, -0.12439128756523132, -0.08256382495164871, -0.010019730776548386, -0.8111100792884827, 0.09771610796451569, 0.06269703060388565, 0.2009180784225464, 0.7735471129417419, 0.4884708523750305, 0.21679212152957916, 0.42111554741859436, -0.422860890626...
record8323588_pdf14_slide2
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
2
[ 0.5496834516525269, -0.12670613825321198, -0.6967118978500366, -0.19905972480773926, -0.41289085149765015, 0.46778586506843567, -0.07823389023542404, -0.1624622642993927, 0.431670218706131, 0.7161130309104919, -0.21421758830547333, -0.30975738167762756, 0.496683806180954, 0.216155424714088...
[ -0.055826880037784576, 0.23656818270683289, 0.1775171458721161, 0.20722781121730804, -0.03978502005338669, 0.48464730381965637, -0.21303777396678925, 0.6937100291252136, 0.7120485901832581, 0.06613142788410187, 0.5405059456825256, 0.28576338291168213, -0.2569824457168579, 0.242556929588317...
[ 0.7193300127983093, 0.019680259749293327, -0.26791825890541077, -0.20116163790225983, -0.34441858530044556, 0.12744197249412537, 0.22740304470062256, -0.22135256230831146, 0.771051287651062, 0.5564356446266174, -0.6277527809143066, -0.1576395332813263, 0.5898868441581726, 0.263776719570159...
I3D:bio‘s OMERO training material: page 2 of 9 including the metadata [6]. Moreover, a large international community of contributors supports the ongoing development and functional extension of OMERO (see #OMERO at https://forum.image.sc/, or examples on Github: https://github.com/ome/omero-user- scripts; https://github.com/TheJacksonLaboratory/ezomero). In a 2021 survey among bioimaging scientists in Germany, OMERO was the best-known and most widely used solution for bioimage data management [7]. Implementing a new OMERO instance requires collaboration between many different stakeholders within the organization and involves central IT staff, core facility personnel, researchers using bioimaging methods, and central administration to ensure proper setup and sustained operation. The OME team provides comprehensive support and training for both the installation and the use of OMERO on the openmicroscopy.org website, which is the central entry hub to becoming knowledgeable about OMERO. Moreover, the OME team offers workshops and assists in setting up training server environments for workshops organized locally. Introductions on how to use OMERO are available online in the form of recordings from such workshops and live demos with durations between 10 and 60 min (e.g., https://www.youtube.com/@OpenMicroscopyEnvironment/; OMERO basics by E. Ratamero, Jackson Laboratory: https://www.youtube.com/watch?v=e3u-Ugd4W7w). Irrespective of these comprehensive information resources, experience shows that the adoption of OMERO by researchers and students at universities or institutions where the platform was implemented is often slow (e.g., as discussed in meetings of the RDM4mic group). Even where OMERO is used for data storage and visualization, only a few users leverage the potent functions of this platform like structured metadata annotation and streamlining image data analysis. Frequently, OMERO instances are implemented by or in collaboration with imaging core facilities that are a primary source of support when planning to use (new) bioimaging methods [7]. Core facilities, therefore, can act as important multiplicators for the dissemination of good RDM practices in bioimaging, including using OMERO. Since OMERO instance configurations, server addresses, ports, installed extensions, and available scripts usually differ between institutions, core facility staff have to adapt generic training material to their respective institution‘s environment, e.g., offered as a web resource locally (examples at the time of publication: WWU Münster, Biozentrum Basel, HHU Düsseldorf, Uni Osnabrück, EPFL BioImaging and Optics Platform). Several such resources are openly accessible, but core facilities or organizations starting their own OMERO instance cannot entirely rely on these, and reuse is limited as it requires customization for use in internal lectures and seminars. Since 2016, the FAIR principles for research data (i.e., data must be findable, accessible, interoperable, and reusable) have been acknowledged widely by the scientific community, funders, and policymakers, as a guidance framework for research data management [8]. In
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf14_slide3
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
3
[ 0.43538132309913635, -0.37991994619369507, -0.07401146739721298, -0.16205193102359772, -0.45434218645095825, 0.18660910427570343, -0.1453937441110611, -0.616385281085968, 0.1574026197195053, 0.712094247341156, -0.3548352122306824, -0.22875362634658813, 0.6174026727676392, 0.297129422426223...
[ 0.15293650329113007, 0.25520414113998413, 0.11070844531059265, -0.01781044900417328, -0.01785554736852646, 0.29850831627845764, -0.4220621585845947, 0.9147104024887085, 0.7079327702522278, 0.13374164700508118, 0.5201939344406128, -0.10177209973335266, -0.505863606929779, 0.3948631882667541...
[ 0.3563181161880493, -0.07139820605516434, 0.0272592231631279, -0.13534142076969147, -0.5247645378112793, 0.007822198793292046, 0.04105885699391365, -0.3049295246601105, 0.11568424850702286, 0.9470586776733398, -0.4263792335987091, -0.061240993440151215, 0.706014096736908, 0.184738487005233...
I3D:bio‘s OMERO training material: page 3 of 9 bioimaging, OMERO offers an entry point for FAIR data handling, and it is continuously being advanced by the community to allow better FAIR compliance for researchers. Thus, OMERO user training is also a means to facilitate knowledge about FAIR-compliant data management including the important aspect of metadata annotation and curation. Community-based recommendations and technical solutions to help with metadata annotation in bioimaging with different degrees of standardization were recently developed [9-13], and educational material on metadata is among the top five requested resources by participants in the 2021 NFDI4BIOIMAGE community survey [7]. The Information Infrastructure for BioImage Data (I3D:bio) project (https://www.i3dbio.de), funded through the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft), arose from regular exchange within the bioimaging community occurring in the frame of both the informal Research Data Management for Microscopy group (RDM4mic) and German Bioimaging, the German Society for Microscopy and Image Analysis (GerBI-GMB). The project focuses on supporting the implementation of OMERO instances at German universities and research institutions. In collaboration with use case partners, several OMERO installations are implemented de novo, and the partners are supported in user training, too. An explicit demand by the use case partners and by the RDM4mic group members concerned the availability of easily accessible, modifiable, and reusable training material in classical presentation formats (i.e., slideshows) that can be used to lower the entry barrier for naïve users of OMERO (meeting 2022). The I3D:bio project team collected existing material from partner sites, but also created a new set of OMERO training slides for the project‘s use cases. The slides should serve three discrete purposes: • as reusable slides for on-premise or online training courses by core facility staff (and others). • as a self-guided instruction manual with substantial visual support (e.g., step-by- step screenshots). • as a basis for short video tutorials (~ 4 min to 11 min, each) about specific aspects of using OMERO, targeting absolute beginners. The slides are • designed with original screenshots in a neutral format to be published with an open permissive reuse license (CC-BY 4.0). • providing information and links to other community-curated OMERO training material and the OMERO guides (https://omero-guides.readthedocs.io/en/latest/).
{ "Content": "No slide content was provided for analysis.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.06658574938774109, 0.02108175866305828, 0.08354870975017548, -0.03876662254333496, -0.2545415759086609, -0.797914981842041, 0.19683855772018433, -0.04235829412937164, 0.10420089960098267, 0.791813313961029, 0.49543771147727966, 0.1568146049976349, 0.15684874355793, -0.5211126208305359, ...
record8323588_pdf14_slide4
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
4
[ 0.6246623992919922, 0.05362960696220398, 0.11556220054626465, -0.17488683760166168, -0.4249776005744934, -0.09004396200180054, -0.5624790191650391, -0.1276118904352188, 0.5212443470954895, 0.757009744644165, -0.1774858683347702, 0.18946193158626556, 0.580915093421936, -0.13370753824710846,...
[ 0.125723734498024, 0.11350219696760178, 0.3187212646007538, 0.04698065295815468, -0.025104466825723648, 0.3635949492454529, -0.41170579195022583, 0.979292094707489, 0.7748345136642456, 0.09776011854410172, 0.23781853914260864, 0.24122554063796997, -0.24572211503982544, 0.211387500166893, ...
[ 0.6299317479133606, -0.2619587182998657, -0.09638959169387817, 0.05468563735485077, -0.41127192974090576, -0.3088192939758301, -0.276245653629303, -0.14565810561180115, 0.7010338306427002, 0.6006633639335632, -0.023266635835170746, 0.3064054846763611, 0.82941073179245, 0.10635671019554138,...
I3D:bio‘s OMERO training material: page 4 of 9 Each training modality or format has strengths and weaknesses, and comes with somewhat different material requirements. The presented slideshows are intended to meet a sweet spot between those different requirements. For example, while individual slides have denser content than would be ideal for video clips, animated walk-throughs allow keeping focus in audiovisual presentations or in talks. At the same time, a slide contains the essential information to be used for a self-guided walk-through by the users including links to the OME guides or other resources. The slides are published with a generic master slide template that can be readily adapted for presenting other institution-compliant layouts. The screenshots are neutral with respect to persons or institutions (we used “Mary Mayperson“ as the default user). Where screenshots must contain the institution-specific information (e.g., the discrete OMERO web address with the correct port), these fields are marked in yellow and can be edited in the original slides. The notes below the slides in the pptx format contain useful information for trainers or video producers; for example, if the training slide content can only be used if a specific extension is installed on the OMERO server. We tested the usefulness as video tutorials during the test phase of a newly installed OMERO instance at the German Cancer Research Center (DKFZ) in Heidelberg, Germany. Moreover, experienced core facility members and voluntary pilot users from the I3D:bio project‘s partner sites reviewed the video tutorials and provided feedback. Since videos are requested as an educational format in the field of bioimaging and image analysis [14], we designed videos with a short length (on average ~6.5 minutes) about specific topics, since this length has been found optimal for effective engagement [15, 16]. The production of video tutorials demands time and requires suitable equipment. Therefore, we re-recorded the tutorials using the presented slides with generic screenshots in a neutral I3D:bio slide design (published on Youtube). Other institutions can use these video tutorials without modification while providing the adjusted underlying slide decks for their users containing the institution-specific information. Altogether, the training material provided here is intended as a complementary community- contributed educational format in addition to the OMERO guide. The material contains links to OME‘s original and community-contributed resources. The video tutorials and slideshows are specifically intended to lower perceived entry barriers for beginners in using OMERO. The slides may be complemented or updated over time. All slides are provided in original pptx format, in the open odp format, and as pdf files in the neutral design. The slides and videos can be downloaded, and may be edited for reuse, or can be reviewed online.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf14_slide5
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
5
[ 0.5019104480743408, 0.11039431393146515, -0.060651995241642, -0.7083302736282349, -0.30220121145248413, 0.03851946443319321, -0.20317213237285614, -0.12335497885942459, 0.2662768065929413, 0.9593019485473633, -0.3904949724674225, 0.07633411139249802, 0.41260430216789246, 0.2734924554824829...
[ -0.12828649580478668, 0.30111655592918396, -0.07353654503822327, -0.03771020099520683, 0.06570538878440857, 0.46261170506477356, -0.08060582727193832, 1.0602302551269531, 0.6406127214431763, 0.18835335969924927, 0.5806339383125305, -0.02355864830315113, -0.45502325892448425, 0.190886110067...
[ 0.18941685557365417, -0.06450200080871582, -0.08705395460128784, -0.24561677873134613, -0.5370655059814453, -0.08445893973112106, -0.19100750982761383, 0.07307441532611847, 0.813805878162384, 0.7305037379264832, -0.3121729791164398, 0.5853205919265747, 0.15649041533470154, 0.46156972646713...
I3D:bio‘s OMERO training material: page 5 of 9 Description of the training material The training slides and video tutorials are targeted to address researchers at all career levels who are beginners in using OMERO, and who may have limited literacy in computer science, software architectures, file formats, etc. To lower entry hurdles for adopting OMERO, we created nine chapters, starting with a basic, high-level introduction to OMERO. The tutorials guide through the most essential first steps of using OMERO and point to other resources for more advanced users looking for additional details. For individual slides, we have used own example data, or publicly available datasets published under CC-0 license to demonstrate steps of using OMERO. Data was reused from the BioImage Archive [17] from the following studies: Barry et al. (2018). BioStudies, S-BSST110. Retrieved from https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BSST110; Hanyaloglu et al. (2021). BioStudies, S-BSST749. Retrieved from https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BSST749). The choice was arbitrary based on open licenses. Chapter 01: What is OMERO? (video link: https://youtu.be/D5UHx3d_JxA) This is a high-level description, and information on how to use OMERO at the institution with little details. It is intended for the first engagement of new users or as a quick information for stakeholders generally interested in OMERO. Chapter 02: How to connect to OMERO (video link: https://youtu.be/hTp4utPDs-4) A practical guide on how to access the OMERO instance at the institution. Differences between the OMERO.insight client and the OMERO.web client are explained and recommendations are given. Chapter 03: OMERO software explained (video link: https://youtu.be/3d2ppWKYNYs) This chapter is an optional explanation about what is hidden from front-end users when relying on OMERO. The chapter is intended to create trust in data safety and convey a glance of the well-designed complexity behind OMERO. Chapter 04: User Groups in OMERO (video link: https://youtu.be/bCvPHbjm0x4) Users should understand the rationale behind user group policies in OMERO. The chapter explains which user group settings exist, who manages the groups and which features are associated with the group settings. It is particularly important for the collaborative use of OMERO. The chapter must partially be adjusted to present the respective default group settings at each institution.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf14_slide6
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
6
[ 0.6591647863388062, -0.1662275344133377, 0.09525633603334427, -0.4026246666908264, -0.14561668038368225, 0.25996384024620056, 0.02186591736972332, -0.2034362405538559, 0.6709980964660645, 1.0151928663253784, -0.4829920828342438, 0.09549469500780106, 0.1507350653409958, 0.36924445629119873,...
[ -0.21498335897922516, 0.36438390612602234, 0.07843184471130371, 0.241551473736763, 0.16819709539413452, 0.3872178792953491, -0.29217901825904846, 0.8868438601493835, 0.4919387698173523, 0.225115105509758, 0.5224636793136597, 0.04200427234172821, -0.49149125814437866, 0.16462616622447968, ...
[ 0.09479498118162155, 0.06995978206396103, -0.29646846652030945, -0.20406807959079742, -0.17315877974033356, -0.00392888393253088, -0.30003851652145386, -0.22559815645217896, 1.1776453256607056, 0.6702561974525452, -0.3489656150341034, 0.3166506588459015, 0.6551969647407532, 0.3698748350143...
I3D:bio‘s OMERO training material: page 6 of 9 Chapter 05: How to upload data to OMERO (video link: https://youtu.be/p_2CJPEpRd8) A step-by-step introduction to the most frequently used scenario for data upload, which is the manual upload using OMERO.insight. The chapter also points to command line upload options, including a note on in-place import. It contains also a note on OMERO.mde as a metadata editor used during import with OMERO.insight. Chapter 06: Data organization (with one subchapter) (video link: https://youtu.be/wTuEkd_8kwI) A frequently reported entry barrier for new users is the seemingly too flat folder hierarchy in OMERO. Many new users have to become acquainted with object-based organization first, since file folder hierarchies are most commonly used. The chapter introduces how to rethink data organization and explains the advantages of OMERO‘s data organization. With this chapter, metadata annotation concepts, most importantly, Tags and Key-Value Pairs are introduced, while being detailed later in subsequent chapters. The subchapter 06.1 (video link: https://youtu.be/LW1g34ERt0Q) shows how to make use of the search function in OMERO, leveraging OMERO‘s data structure in combination with structured annotations. Chapter 07: Metadata curation (with three subchapters) (video link: https://youtu.be/rHDNYtwbF-A) This chapter provides a more comprehensive introduction to metadata, outlining the importance of metadata from various perspectives. It provides an overview of the metadata annotation features in OMERO, which are further detailed in the subchapters. Noteworthy, since the discrete use of Tags, Key-Value Pairs, and ontology terms in OMERO are neither standardized nor self-explanatory, we focus on the possibilities offered by OMERO and provide a high-level recommendation. Our recommendations are aligned with community-established recommendations based on exchange with the international bioimaging community. However, it is highlighted that no one “best“ or “correct“ way for metadata annotation in OMERO exists. The subchapter 07.1 focuses on the use of Tags. We recommend using Tags to support the data organization making use of Tag categories and the search function and thus substituting for the habit of creating deep folder hierarchies. (video link: https://youtu.be/62z_5erjAF0) Subchapter 07.2 offers more detailed explanations on the use of Key-Value Pairs and introduces community-supported OMERO Bulk Annotation Tools. (video link: https://youtu.be/Y965QiB7wVs)
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf14_slide7
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
7
[ 0.7836760878562927, 0.0541694350540638, -0.12438657879829407, -0.5274525284767151, -0.2968445420265198, 0.1708051562309265, -0.02806009352207184, -0.389108806848526, 0.5362760424613953, 0.72458416223526, -0.03903994336724281, -0.2765454053878784, 0.1801583468914032, 0.33602914214134216, ...
[ 0.20271581411361694, 0.18601618707180023, 0.11034072190523148, -0.008368318900465965, 0.08227042108774185, 0.48127177357673645, -0.4069910943508148, 0.8624230623245239, 0.692602813243866, 0.2733778655529022, 0.3657001256942749, -0.06950744241476059, -0.4645438492298126, 0.2981531620025635,...
[ 0.5061516761779785, -0.05799255892634392, 0.015232760459184647, -0.38474056124687195, -0.19380342960357666, 0.17856933176517487, -0.17669261991977692, -0.3623206615447998, 0.6548349857330322, 0.6581630706787109, -0.08707280457019806, -0.0025112770963460207, 0.34981876611709595, 0.312489181...
I3D:bio‘s OMERO training material: page 7 of 9 Subchapter 07.3 introduces the concept of ontologies. Experience shows that many beginners in OMERO are not yet familiar with ontologies. OMERO has no strict rules about how to use ontologies. Here we provide a suggestion in the context of bioimaging. We mainly relate to the Recommended Metadata for Biological Images (REMBI) [13]. For the annotation of ontology-derived terms in Key-Value Pairs, we suggest combining REMBI items in the Keys with ontology-derived natural language terms as values where adequate based on previously proposed standards (e.g.: ISA [18]). (video link: https://youtu.be/MvB0Mz_abfk) Chapter 08: Using OMERO together with Fiji (video link: https://youtu.be/x-PvOZPKjD0) Fiji/ImageJ [19, 20] is the most widely used image analysis software for researchers using bioimaging [7, 21]. Many other, open as well as proprietary, image analysis software can be used in combination with OMERO. However, here we focus on the connection of Fiji and OMERO to showcase the immediate benefit of using OMERO for data organization when working with the data (“hot data”). The Fiji plugin for OMERO is introduced, and we point to community-developed Fiji/ImageJ macro extensions for OMERO [22]. Chapter 09: More features, functions, and ways to use OMERO (no video) Having focused on absolute beginners for the use of OMERO as the primary target group, here we provide links and information for the many additional features that OMERO offers to advanced users. Where available, we point to online tutorials and training material and/or to original publications. Chapter 9 is not presented as a video tutorial. How to use this material The intended use of our material is to download the slideshows, change the layout using the master slide and adjust the slide content as required. Notes for presenters may give hints on which slides should likely be adjusted. Yellow markings highlight where slide content requires manual changes. The content including the figures and text (but excluding logos) is - unless marked otherwise - published with a CC-BY 4.0 license as an open educational resource. We intend to provide FAIR training material by sharing in open formats, with permissive license, accompanying metadata, and versioning [23]. Suggestions for slide improvements may be communicated to the authors directly for adoption in updated versions of the material. Contributions may be addressed to: i3dbio@gerbi-gmb.de. Furthermore, if you use the material at your own institution, we would greatly appreciate being notified to get in touch for feedback over time.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf14_slide8
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
8
[ 0.5986074805259705, -0.3716479539871216, 0.30000993609428406, -0.45037880539894104, -0.18347230553627014, 0.16063015162944794, 0.13642354309558868, -0.36439836025238037, 0.4424271583557129, 1.1408137083053589, -0.20929527282714844, -0.42991936206817627, 0.6717401146888733, 0.16233919560909...
[ -0.10785941034555435, 0.3927995562553406, -0.20792073011398315, 0.3499661684036255, -0.08889968693256378, -0.22605863213539124, 0.12945656478405, 0.7666927576065063, -0.25442835688591003, 0.39334094524383545, 0.2691158652305603, -0.11736351996660233, -0.2258085012435913, 0.1739279329776764...
[ 0.14795571565628052, -0.7481847405433655, 1.0876578092575073, -0.5233567953109741, 0.19763630628585815, 0.28034475445747375, 0.20716845989227295, -0.5135642290115356, 0.7462301850318909, 0.887371301651001, -0.127952441573143, -0.5569139122962952, 0.4010463058948517, 0.0899827852845192, 0...
I3D:bio‘s OMERO training material: page 8 of 9 References 1. Kemmer, I., et al., Building a FAIR image data ecosystem for microscopy communities. Histochem Cell Biol, 2023. 160(3): p. 199-209. DOI: 10.1007/s00418-023-02203-7 2. Ouyang, W. and C. Zimmer, The imaging tsunami: Computational opportunities and challenges. Current Opinion in Systems Biology, 2017. 4: p. 105-113. DOI: 10.1016/j.coisb.2017.07.011 3. Andreev, A. and D.E.S. Koo, Practical Guide to Storage of Large Amounts of Microscopy Data. Microscopy Today, 2020. 28(4): p. 42-45. DOI: 10.1017/S1551929520001091 4. Goldberg, I.G., et al., The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging. Genome Biol, 2005. 6(5): p. R47. DOI: 10.1186/gb-2005-6-5-r47 5. Allan, C., et al., OMERO: flexible, model-driven data management for experimental biology. Nat Methods, 2012. 9(3): p. 245-53. DOI: 10.1038/nmeth.1896 6. Linkert, M., et al., Metadata matters: access to image data in the real world. J Cell Biol, 2010. 189(5): p. 777-82. DOI: 10.1083/jcb.201004104 7. Schmidt, C., Hanne, J., et al., Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey. F1000Res, 2022. 11: p. 638. DOI: 10.12688/f1000research.121714.2 8. Wilkinson, M.D., et al., The FAIR Guiding Principles for scientific data management and stewardship. Sci Data, 2016. 3: p. 160018. DOI: 10.1038/sdata.2016.18 9. Rigano, A., et al., Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications. Nat Methods, 2021. 18(12): p. 1489- 1495. DOI: 10.1038/s41592-021-01315-z 10. Ryan, J., et al., MethodsJ2: a software tool to capture metadata and generate comprehensive microscopy methods text. Nat Methods, 2021. 18(12): p. 1414- 1416. DOI: 10.1038/s41592-021-01290-5 11. Kunis, S., et al., MDEmic: a metadata annotation tool to facilitate management of FAIR image data in the bioimaging community. Nat Methods, 2021. 18(12): p. 1416-1417. DOI: 10.1038/s41592-021-01288-z 12. Hammer, M., et al., Towards community-driven metadata standards for light microscopy: tiered specifications extending the OME model. Nat Methods, 2021. 18(12): p. 1427-1440. DOI: 10.1038/s41592-021-01327-9 13. Sarkans, U., et al., REMBI: Recommended Metadata for Biological Images- enabling reuse of microscopy data in biology. Nature Methods, 2021. DOI: 10.1038/s41592-021-01166-8 14. Sivagurunathan, S., et al., Bridging imaging users to imaging analysis - A community survey. J Microsc, 2023. DOI: 10.1111/jmi.13229 15. Power, R., Maximizing the Impact of Instructional Video Length., in Integration of Instructional Design and Technology: Volume 2. 2022: Pressbooks.com 16. Guo PJ, K.J. and R. R. How video production affects student engagement: an empirical study of MOOC videos. in First ACM Conference on Learning at Scale. 2014. New York: L@S’14 Proceedings of the First ACM Conference on Learning at Scale. DOI: 10.1145/2556325.2566239 17. Hartley, M., et al., The BioImage Archive - Building a Home for Life-Sciences Microscopy Data. J Mol Biol, 2022. 434(11): p. 167505. DOI: 10.1016/j.jmb.2022.167505 18. Rocca-Serra, P., et al., ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level. Bioinformatics, 2010. 26(18): p. 2354-6. DOI: 10.1093/bioinformatics/btq415 19. Schindelin, J., et al., Fiji: an open-source platform for biological-image analysis. Nat Methods, 2012. 9(7): p. 676-82. DOI: 10.1038/nmeth.2019
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8323588_pdf14_slide9
8323588
2023_Schmidt_etal_I3Dbio_OMERO_Training_Material_10.5281_zenodo.8323588.pdf
9
[ 0.6976186633110046, -0.10994330048561096, 0.027290355414152145, -0.4852089285850525, -0.24131734669208527, -0.1486385613679886, -0.2040291577577591, -0.08649745583534241, 0.4126729965209961, 1.0797233581542969, -0.42922860383987427, -0.09933583438396454, 0.6959301829338074, -0.222870096564...
[ -0.13243982195854187, 0.21450509130954742, -0.12735624611377716, 0.32053494453430176, 0.25764548778533936, 0.21154040098190308, -0.33814525604248047, 0.7164465188980103, -0.007180281914770603, -0.020728396251797676, 0.002906245645135641, -0.22965262830257416, -0.21217550337314606, 0.390053...
[ 0.3892192542552948, 0.0019212177721783519, 0.3100748360157013, -0.26504263281822205, -0.3242312967777252, 0.6325123906135559, 0.37024611234664917, -0.5070891380310059, 0.4322129487991333, 0.5950387120246887, -0.523766815662384, 0.021405883133411407, 0.6796324849128723, -0.05743662267923355...
I3D:bio‘s OMERO training material: page 9 of 9 20. Schindelin, J., et al., The ImageJ ecosystem: An open platform for biomedical image analysis. Mol Reprod Dev, 2015. 82(7-8): p. 518-29. DOI: 10.1002/mrd.22489 21. Jamali, N., et al., 2020 BioImage Analysis Survey: Community experiences and needs for the future. Biological Imaging, 2022. 1: p. e4. DOI: 10.1017/S2633903X21000039 22. Pouchin, P., et al., Easing batch image processing from OMERO: a new toolbox for ImageJ. F1000Res, 2022. 11: p. 392. DOI: 10.12688/f1000research.110385.2 23. Garcia, L., et al., Ten simple rules for making training materials FAIR. PLoS Comput Biol, 2020. 16(5): p. e1007854. DOI: 10.1371/journal.pcbi.1007854 Data availability All material is available under the Zenodo record 10.5281/zenodo.8323588. Acknowledgments: We thank the partners of the I3D:bio project and the voluntary test users of the training material: Silke Tulok, Anja Nobst, Gunar Fabig, Anett Jannasch (TU Dresden Medical Faculty), Christian Kukat, Marcel Kirchner (Max-Planck Institute for the Biology of Ageing, Cologne), Artem Shmatko (DKFZ German Cancer Research Center Heidelberg), Jens Wendt & Sarah Weischer (University of Münster), Josh Moore (German BioImaging, Open Microscopy Environment Consortium, University of Dundee) Conflict of Interest: The authors declare that there is no conflict of interest. Author contributions: CS drafted the concept, created the slides, recorded the tutorials, wrote the manuscript, and coordinated the project. MB and TB contributed to the concept and with slides, and reviewed the material and the manuscript. NK, PZ, CFG, and TZ contributed with raw material as the basis for the concept and the slides, and reviewed the material and the manuscript. JD reviewed and tested the material. SK, SWP and EFM contributed conceptionally, reviewed the material and the manuscript, and provided funding. Funding: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project I3D:bio, project number 462231789.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide1
8329305
Thinking_Data_Management_On_Different_Scales.pdf
1
[ -0.0930376648902893, -0.518756091594696, 0.18282032012939453, -0.410395085811615, -0.23483134806156158, -0.49058613181114197, -0.513423502445221, -0.569300651550293, 0.16871102154254913, 0.6519452929496765, -0.08114313334226608, 0.36094415187835693, 0.4853023588657379, -0.26259368658065796...
[ -0.2021186351776123, 0.3407346308231354, -0.624403715133667, 0.004193579312413931, 0.15935613214969635, 0.36046135425567627, -0.37189576029777527, -0.0351361520588398, 0.8159744739532471, 0.2262040227651596, -0.42418310046195984, -0.12247936427593231, -0.22642968595027924, 0.10480157285928...
[ -0.24703066051006317, -0.6262100338935852, 0.6301577687263489, -0.15989236533641815, 0.026667512953281403, -0.7447037100791931, -0.6144149303436279, -0.37373417615890503, 0.02094665914773941, 0.5429613590240479, 0.145830899477005, -0.11411230266094208, 0.9537104964256287, -0.07071681320667...
Thinking data management on different scales Susanne Kunis These slidescanbereusedundertheCC BY-SA 4.0licenseunlessmentionedotherwise
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide2
8329305
Thinking_Data_Management_On_Different_Scales.pdf
2
[ 0.328543096780777, -0.66294926404953, 0.21748954057693481, -0.23274795711040497, 0.09978998452425003, -0.14875896275043488, -0.3129406273365021, 0.12563465535640717, -0.015153425745666027, 0.047129981219768524, -0.4376121759414673, -0.5065950751304626, 0.9578502178192139, -0.28181433677673...
[ -0.32487499713897705, 0.35219553112983704, -0.3696053624153137, 0.19072476029396057, -0.25282150506973267, 0.03540744259953499, -0.10561900585889816, -0.15627534687519073, 0.8346508145332336, -0.14703786373138428, -0.04240741953253746, -0.44575223326683044, -0.3123437762260437, -0.02172626...
[ 0.5469220876693726, -0.7629607319831848, 0.4965415596961975, -0.16590186953544617, 0.15802635252475739, -0.0975392609834671, -0.39478281140327454, -0.1719442754983902, 0.1201123595237732, 0.04655977338552475, -0.2028210610151291, -0.336721271276474, 0.6534996628761292, -0.01614209450781345...
Research Data Management • Logistical necessity • Ensures Integrity, reproducibility and transferability • Protects data loss • Fosters collaboration • Provides transparency PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide content provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.17351946234703064, -0.0831555724143982, -0.05339726433157921, -0.23672759532928467, -0.11194629222154617, -0.9067495465278625, 0.035868119448423386, 0.005495762452483177, 0.09054258465766907, 0.7727570533752441, 0.4933684468269348, 0.20517410337924957, 0.49538689851760864, -0.43691459298...
record8329305_pdf1_slide3
8329305
Thinking_Data_Management_On_Different_Scales.pdf
3
[ 0.08400223404169083, -0.6262810230255127, -0.04674077406525612, -0.33113136887550354, -0.09501445293426514, -0.35275110602378845, -0.46968501806259155, -0.2135111540555954, 0.025787247344851494, 0.901305079460144, -0.32302728295326233, -0.16899240016937256, 0.4133663475513458, -0.554156780...
[ -0.1882055550813675, -0.1014808937907219, -0.3427616357803345, 0.06049313396215439, 0.26233625411987305, -0.43663734197616577, 0.10358304530382156, 0.16340041160583496, 0.13254296779632568, 0.08498047292232513, -0.16342416405677795, 0.23830288648605347, -0.45520487427711487, -0.31507599353...
[ 0.06725998222827911, -0.49809515476226807, -0.14338190853595734, 0.25641074776649475, -0.404366672039032, -0.1537715196609497, 0.1429663598537445, -0.46560198068618774, 0.4948272705078125, 0.861526608467102, -0.3786102831363678, 0.4512329697608948, -0.006838120054453611, -0.139946699142456...
INDIVIDUAL INTERNATIONAL 05 04 03 02 01 INITIAL BASIC DEVELOPMENT MANAGED OPTIMIZED Disorganised, ad hoc Deployinterdomaincrosswalks Status: Different data structures, Data arerichon context(full subjective documentation; semantic); unnecessary data duplication, StandardisedAPI; harmonized transfer, conversion; no central andinteroperable data; Management: data storage and access coherencein formatandcontext interface; no objective/strategy local Data silolevel: Data valuelevel: singleuse Asset toanswerfuturequestions low high Interoperability: „If I want to share data, I „ I find that I can easily coordinate it directly with my discover, access, combine colleague” and publish data". PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide4
8329305
Thinking_Data_Management_On_Different_Scales.pdf
4
[ 0.6233994960784912, -0.4319303035736084, 0.07691115140914917, -0.24271038174629211, -0.014394715428352356, 0.4325597584247589, -0.4829828441143036, -0.35127419233322144, 0.4663164019584656, 0.32319051027297974, -0.39567723870277405, -0.7176187634468079, 0.6988406181335449, -0.1654146611690...
[ -0.4427556097507477, -0.459011971950531, 0.21220368146896362, -0.0993499755859375, -0.02504737675189972, 0.2091175615787506, 0.021568549796938896, 0.39422520995140076, 0.1613682210445404, 0.015436016954481602, 0.15326440334320068, 0.4204081892967224, 0.20609860122203827, 0.3453279137611389...
[ 0.33605632185935974, -0.7512069344520569, -0.030586548149585724, -0.16819511353969574, 0.10471172630786896, 0.560966432094574, -0.11778749525547028, -0.39329683780670166, 0.6557636857032776, 0.29516270756721497, 0.13643936812877655, 0.04258210211992264, 0.10117646306753159, -0.022911142557...
Important spokes in the wheel Raise awareness of research data Supportand customized management importance; solutionsfor specific problems Teachingdata management technics in the management of research and tools data Technical infrastructureand related Ensure quality, add metadata, servicesthat support researcher in and ensure compliance with data management throughout the standards and policies. research cycle PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide5
8329305
Thinking_Data_Management_On_Different_Scales.pdf
5
[ 0.6465098857879639, -0.22638459503650665, 0.5396066904067993, -0.40721437335014343, -0.057426758110523224, 0.554075300693512, -0.10573683679103851, -0.4283080995082855, 0.25874438881874084, 0.5320094227790833, -0.6862248182296753, -0.3918111026287079, 0.7260557413101196, -0.148093059659004...
[ -0.47997915744781494, -0.3040759861469269, 0.4545677900314331, -0.12249933928251266, -0.11135413497686386, 0.03130770102143288, 0.018839390948414803, 0.5762519836425781, 0.3047449290752411, -0.015049586072564125, 0.22026439011096954, 0.4451572597026825, 0.3535108268260956, 0.36823308467864...
[ 0.10358548909425735, -0.2595715820789337, -0.05897251516580582, -0.1721877008676529, 0.45502769947052, 0.27296754717826843, -0.2315620332956314, -0.6961716413497925, 0.8348013758659363, 0.4120642840862274, 0.10212661325931549, -0.0007122841780073941, 0.04082460701465607, -0.231759876012802...
Important spokes in the wheel Raise awareness of research data Supportand customized management importance; solutionsfor specific problems Teachingdata management technics in the management of research and tools data Technical infrastructureand related Ensure quality, add metadata, servicesthat support researcher in and ensure compliance with data management throughout the standards and policies. research cycle Data standards are necessary to break down data silos and create interoperabilityand coherence. They ensure that data retain their value and meaning and are usable, consistent and accurate. PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide6
8329305
Thinking_Data_Management_On_Different_Scales.pdf
6
[ 0.11516468971967697, 0.44545871019363403, -0.3134644329547882, 0.005582023411989212, -0.39831435680389404, 0.8679764866828918, -0.24939686059951782, -0.31523531675338745, 1.0421783924102783, 0.3874581754207611, -0.34880128502845764, 0.20417718589305878, 0.24790608882904053, 0.2550017535686...
[ 0.3695116937160492, 0.42360052466392517, 0.3766290247440338, -0.013604125007987022, 0.01290582213550806, 0.31229349970817566, -0.23783662915229797, 0.27659639716148376, 0.9874284863471985, 0.023625828325748444, -0.010675448924303055, -0.11800501495599747, -0.09245967864990234, -0.300695329...
[ -0.24066327512264252, -0.40976661443710327, 0.3440456986427307, 0.24552233517169952, -0.14461812376976013, -0.2954693138599396, 0.132757768034935, -0.5963132977485657, 0.7019146084785461, 0.39928966760635376, -0.2516191303730011, 0.22091065347194672, 0.3806259334087372, 0.4134102761745453,...
Integration of data management in an existing ecosystem
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide7
8329305
Thinking_Data_Management_On_Different_Scales.pdf
7
[ -0.3346398174762726, -0.6782418489456177, 0.2212425321340561, -0.5087700486183167, 0.2845693528652191, -0.07165224850177765, -0.5127052068710327, 0.3596213161945343, -0.23037494719028473, 0.4041353166103363, 0.3299776017665863, -0.3107404410839081, 0.9070285558700562, -0.13380222022533417,...
[ -0.5394750833511353, 0.14469259977340698, -0.19940584897994995, -0.14358866214752197, -0.5661599040031433, -0.10575211048126221, 0.06534385681152344, -0.08586974442005157, 0.9124992489814758, -0.032901715487241745, -0.11968628317117691, -0.35133951902389526, -0.1987086981534958, -0.2264290...
[ -0.10848332941532135, -0.6857740879058838, 0.6552550792694092, -0.1212427094578743, -0.055143460631370544, 0.17932546138763428, -0.03901857137680054, -0.14574125409126282, 0.27976104617118835, 0.43180397152900696, 0.36733368039131165, -0.8003718852996826, 0.5572288632392883, 0.222565278410...
Department Biology Research groups • Animal Physiology • Genetics • Behavioural Biology • Microbiology • Bioanalytical Chemistry • Molecular Cell Biology • Biochemistry • Molecular Cell Biophysics • Biodiversity and Landscape • Molecular Infection Biology 19 Ecology • Neurobiology • Biology Didactics • Plant Physiology • Biophysics • Structural Biology • Botany • Zoology • Cellular Communication • Ecology PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide8
8329305
Thinking_Data_Management_On_Different_Scales.pdf
8
[ -0.27148494124412537, -1.406354308128357, 0.6713868975639343, -0.10034883767366409, -0.19027024507522583, 0.03129703179001808, -0.6001352667808533, 0.13284006714820862, 0.2002171277999878, 0.3271618187427521, -0.035531237721443176, -0.5791962742805481, 0.9050021767616272, 0.039495550096035...
[ -0.08343533426523209, -0.19592230021953583, 0.1941375881433487, -0.20619012415409088, -0.6948965191841125, -0.09032386541366577, 0.046761151403188705, -0.23036742210388184, 0.8691039681434631, -0.2318386435508728, -0.23701773583889008, -0.22452114522457123, -0.0730757936835289, -0.30103093...
[ -0.2614651024341583, -1.170566439628601, 0.6935532689094543, -0.5238549113273621, -0.04720461368560791, 0.5546139478683472, -0.30120259523391724, -0.31340155005455017, 0.6636738777160645, 0.5324830412864685, 0.300833523273468, -0.42275676131248474, 0.2691558301448822, 0.211154505610466, ...
Department Biology Research Facility & Service groups 12 Light Microscopy 6 Electron Microscopy 5 Cytometry & FACS 19 iBiOs DeltaVision Leica SP5 Lattice Olympus Olympus Olympus Light-Sheet FV 1000 FV 3000 TIRF 1-LINE Mass Olympus Olympus Olympus Zeiss LSM Zeiss 880 Zeiss TIRF 3-LINE TIRF 4-LINE TIRF 4-LINE 510 AiryScan Spinning Disk Spectrometry FRAP PAINT PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide9
8329305
Thinking_Data_Management_On_Different_Scales.pdf
9
[ -0.36154240369796753, -0.632206916809082, 0.3348083794116974, -0.34746915102005005, 0.27767428755760193, -0.32150474190711975, -0.5704647898674011, 0.14823175966739655, -0.2938558757305145, -0.18579773604869843, -0.012724528089165688, -0.4852752685546875, 0.9617682099342346, -0.12588693201...
[ 0.01800490915775299, -0.1807602494955063, 0.023106463253498077, -0.05142982304096222, -0.6988439559936523, -0.16452892124652863, 0.09175974130630493, -0.0466659851372242, 1.032305359840393, -0.2340306043624878, -0.49595412611961365, -0.2823598086833954, -0.11593616008758545, -0.30364665389...
[ -0.23640818893909454, -0.8736059069633484, 0.5129121541976929, -0.2156216949224472, 0.26561641693115234, 0.20612487196922302, 0.16999451816082, -0.5421297550201416, 0.4862695038318634, 0.10492122918367386, 0.149185448884964, -0.6076653599739075, 0.4887542724609375, 0.5596561431884766, 0....
Department Biology Research Facility & Service Research Center groups 19 iBiOs CellNanOs Mass Spectrometry PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide10
8329305
Thinking_Data_Management_On_Different_Scales.pdf
10
[ -0.038556281477212906, -0.6030936241149902, -0.2649533748626709, 0.20122118294239044, 0.05867350846529007, -0.49218448996543884, -0.371664434671402, -0.07658186554908752, -0.2930965721607208, 0.6081163287162781, -0.6556941270828247, -0.2931413948535919, 0.9101524353027344, -0.1029694750905...
[ 0.0502033457159996, -0.2526707947254181, -0.11508526653051376, 0.010264640673995018, 0.2965724468231201, -0.17956607043743134, 0.23229555785655975, -0.022479301318526268, 0.414671391248703, 0.11168037354946136, -0.03043084591627121, 0.4541782736778259, -0.1985674500465393, 0.04033358395099...
[ -0.06447605788707733, -0.5267394781112671, -0.5374312400817871, -0.3030477464199066, 0.08543775230646133, 0.3112134039402008, -0.36130446195602417, -0.459100604057312, 0.6597908139228821, 0.6883530020713806, -0.2576656639575958, -0.16706736385822296, 0.2785528898239136, -0.2320431023836136...
Ecosystem 2015 … Research group member Research group Community/External and desktop system specific server Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide11
8329305
Thinking_Data_Management_On_Different_Scales.pdf
11
[ -0.12368907034397125, -0.971167802810669, -0.25125208497047424, 0.07179933041334152, 0.16037757694721222, -0.32049867510795593, -0.40769320726394653, -0.027529854327440262, -0.03292126953601837, 0.6360145807266235, -0.5195181369781494, -0.46022626757621765, 0.8507547974586487, -0.217536956...
[ 0.061399202793836594, -0.23031722009181976, -0.0009543984197080135, 0.0036798068322241306, 0.16663947701454163, -0.2616436183452606, 0.15177355706691742, -0.20587795972824097, 0.4789581000804901, 0.21022386848926544, -0.19446028769016266, 0.30177202820777893, -0.18932779133319855, -0.18996...
[ 0.044442564249038696, -0.5823912024497986, -0.2343149036169052, 0.11593306809663773, 0.40746891498565674, -0.0787423849105835, -0.4662334620952606, -0.6065424680709839, 0.7789788246154785, 0.5122939944267273, -0.5185809135437012, -0.27872776985168457, 0.25291362404823303, 0.247197449207305...
Ecosystem 2015 … Research group member Research group Analysis Microscopy Community/External and desktop system specific server workstations workstations Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide12
8329305
Thinking_Data_Management_On_Different_Scales.pdf
12
[ -0.07477907836437225, -0.9560651183128357, -0.2391030490398407, -0.01586504839360714, 0.028645016252994537, -0.35031238198280334, -0.4177427887916565, 0.061256714165210724, -0.005337090231478214, 0.6036773324012756, -0.5363016724586487, -0.3513530194759369, 0.8736541271209717, -0.321567118...
[ 0.1463298350572586, -0.19734114408493042, 0.030537936836481094, -0.13269267976284027, 0.35810038447380066, -0.1751343458890915, 0.09289399534463882, -0.18562239408493042, 0.6752995848655701, 0.09800415486097336, -0.17926013469696045, 0.3716636598110199, -0.22874073684215546, -0.11780842393...
[ 0.030657567083835602, -0.45063817501068115, -0.18147818744182587, 0.06565169245004654, 0.4206658601760864, 0.04275289922952652, -0.1986125260591507, -0.42139068245887756, 0.7675613760948181, 0.44072651863098145, -0.5202113389968872, -0.20644932985305786, 0.44070228934288025, 0.088001407682...
Ecosystem 2015 … Research group member Research group Analysis Microscopy Multiple data Community/External and desktop system specific server workstations workstations formats Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide13
8329305
Thinking_Data_Management_On_Different_Scales.pdf
13
[ -0.09911341965198517, -0.9786968231201172, -0.21168237924575806, -0.0037330484483391047, -0.05062166973948479, -0.3785184919834137, -0.3921469748020172, 0.011148666962981224, 0.023160947486758232, 0.6311047673225403, -0.5575322508811951, -0.3565208613872528, 0.9481163024902344, -0.31377232...
[ 0.035408467054367065, -0.3157739043235779, 0.09237927943468094, -0.20557980239391327, 0.20888370275497437, -0.14810098707675934, 0.21264474093914032, -0.06550975888967514, 0.6048035025596619, 0.11299546808004379, -0.2534659206867218, 0.2511320114135742, -0.019786817952990532, 0.24667468667...
[ -0.06455060839653015, -0.5289716124534607, 0.08181432634592056, 0.10822255909442902, 0.08804841339588165, 0.2759207785129547, -0.2892414331436157, -0.3141300678253174, 0.7545616030693054, 0.6571797132492065, -0.6322098970413208, -0.15241743624210358, 0.38669726252555847, -0.123175479471683...
Ecosystem 2015 … Research group member Research group Analysis Microscopy Multiple data MyShare Community/External and desktop system specific server workstations workstations formats Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide14
8329305
Thinking_Data_Management_On_Different_Scales.pdf
14
[ 0.005221258383244276, -0.42465460300445557, -0.4637114703655243, -0.007974729873239994, -0.43617910146713257, -0.26596492528915405, -0.08870691061019897, 0.34780579805374146, 0.2653442919254303, 0.3224768042564392, -0.737142026424408, -0.1288117915391922, 1.0483874082565308, 0.302685230970...
[ 0.3236277997493744, -0.28019705414772034, 0.2257276475429535, 0.0444069430232048, 0.08086731284856796, -0.19737675786018372, 0.19640007615089417, -0.2190561145544052, 0.6096410155296326, 0.05795019492506981, -0.3098585903644562, 0.013418210670351982, 0.04521217197179794, 0.0562428794801235...
[ 0.03327357396483421, -0.39653295278549194, -0.06189689785242081, -0.0725317895412445, 0.08991391211748123, 0.17738023400306702, -0.28711998462677, -0.2468903511762619, 0.8924199938774109, 0.4760180115699768, -0.3103771507740021, -0.19351308047771454, 0.6556488871574402, -0.0434112176299095...
OMERO productiv server Ecosystem 2016 NFS 1.4 PB … OMERO backup Nightly backup on tape 4xdaily snapshots Research group member Research group Analysis Microscopy Central OMERO repository Community/External and desktop system specific server workstations workstations Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide15
8329305
Thinking_Data_Management_On_Different_Scales.pdf
15
[ -0.24564287066459656, -0.25806835293769836, -0.7303611040115356, -0.05631611868739128, -0.6529123187065125, 0.2963610589504242, -0.2393750548362732, 0.08193644881248474, 0.33784499764442444, 0.9206397533416748, -0.5181959867477417, 0.03615739569067955, 0.6325972676277161, 0.192274585366249...
[ 0.1978476345539093, -0.15217986702919006, 0.17196516692638397, 0.022777928039431572, 0.005849879700690508, -0.21384266018867493, 0.12394024431705475, -0.20288144052028656, 0.6265825629234314, 0.11917418986558914, -0.047162510454654694, 0.060295991599559784, 0.19871306419372559, 0.066826321...
[ 0.0421782024204731, -0.3633936643600464, -0.30303868651390076, 0.034890707582235336, -0.09863126277923584, 0.36682265996932983, -0.1640038788318634, -0.5521036386489868, 0.9051012992858887, 0.8564828634262085, -0.382942259311676, -0.22034277021884918, 0.4281058609485626, 0.3539020717144012...
+ Metadata input forms Ecosystem 2022 + Public group + File sharing functionality + fast and unlimited webdownload … + Web import + Central OMERO.insight instance Research group member Research group Analysis Microscopy Central OMERO repository Community/External and desktop system specific server workstations workstations with extensions Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide16
8329305
Thinking_Data_Management_On_Different_Scales.pdf
16
[ -0.09160657227039337, -0.8316230177879333, -0.4517560601234436, -0.16035345196723938, 0.013458069413900375, -0.3160354197025299, -0.21189682185649872, 0.09050663560628891, 0.06677375733852386, 0.4824049174785614, -0.4741678535938263, -0.25860795378685, 0.85597825050354, 0.01395882666110992...
[ 0.20022337138652802, -0.2222408652305603, 0.0589701384305954, -0.07573824375867844, 0.300113320350647, -0.13011440634727478, 0.20071151852607727, -0.22630305588245392, 0.9143869876861572, -0.08626388758420944, -0.30829283595085144, 0.21043352782726288, 0.06663282215595245, 0.26762464642524...
[ 0.019846193492412567, -0.164529487490654, -0.4897174537181854, -0.135929673910141, -0.0792015939950943, 0.6387936472892761, -0.05794316902756691, -0.5799950361251831, 0.7468387484550476, 0.9513774514198303, -0.5392722487449646, -0.15716609358787537, 0.30890244245529175, 0.16259555518627167...
Ecosystem 2022 … Research group member Research group Analysis Microscopy Central OMERO repository Community/External and desktop system specific server workstations workstations -> Linking of different data types Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide17
8329305
Thinking_Data_Management_On_Different_Scales.pdf
17
[ 0.0006612812867388129, -0.8566587567329407, -0.41207951307296753, -0.17061001062393188, 0.14193394780158997, -0.3084450960159302, -0.2800748348236084, 0.006342018488794565, 0.11822957545518875, 0.5835932493209839, -0.3341943025588989, -0.4056258201599121, 0.9369997382164001, -0.05841432511...
[ 0.17792685329914093, -0.10656720399856567, 0.18905247747898102, -0.10507907718420029, 0.20991143584251404, 0.006535561755299568, 0.16694337129592896, -0.2108762115240097, 0.828445315361023, 0.09129374474287033, -0.2978300154209137, 0.27150216698646545, 0.07119432836771011, 0.13224373757839...
[ 0.02893627993762493, -0.3942035436630249, -0.0770978182554245, -0.3817313611507416, 0.2215404361486435, 0.7752121090888977, -0.00296864565461874, -0.5691441893577576, 0.9643566608428955, 0.48158732056617737, -0.3199634552001953, -0.29953816533088684, 0.5370185375213623, -0.0177098307758569...
Ecosystem 2023 … Research group member Research group Analysis Microscopy Central OMERO & ELN instance Community/External and desktop system specific server workstations workstations -> Linking of different data types Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide provided", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.1284780204296112, -0.1360735297203064, -0.16061396896839142, -0.30973488092422485, -0.16489367187023163, -0.9710383415222168, 0.15910321474075317, -0.020333001390099525, 0.10669106245040894, 0.7551354765892029, 0.5583812594413757, 0.17819470167160034, 0.4599383473396301, -0.3746623694896...
record8329305_pdf1_slide18
8329305
Thinking_Data_Management_On_Different_Scales.pdf
18
[ 0.26207444071769714, -0.7217985391616821, 0.046372827142477036, -0.24036270380020142, -0.23432821035385132, -0.30851244926452637, -0.4170645773410797, -0.6130335927009583, 0.2083246260881424, 0.6849879622459412, -0.14024598896503448, -0.05764489993453026, 0.557451069355011, -0.741380214691...
[ -0.22254931926727295, -0.1195962056517601, -0.30503252148628235, -0.14714041352272034, 0.08536683768033981, 0.21594539284706116, -0.03177037835121155, 0.06888415664434433, 0.3866877555847168, 0.03908166661858559, 0.22081096470355988, 0.08834876120090485, -0.2722359001636505, -0.17467619478...
[ 0.10146328806877136, -0.8007140159606934, 0.06129322573542595, -0.43137630820274353, -0.42338573932647705, -0.36270466446876526, -0.43452540040016174, -0.6827236413955688, 0.19260458648204803, 0.43475937843322754, -0.023535002022981644, 0.7376295924186707, 0.09380221366882324, -0.326921612...
INDIVIDUAL PROJECT/GROUP INSTITUTIONAL Change management and continious improvements 03 02 01 INITIAL BASIC DEVELOPMENT Disorganised, ad hoc Deploybasicstructuresandtools Deploystandards Status: Different data structures, Reorganisation, definition of Processes are standardisedand subjective documentation; responsibilities, transfer of integrated;Trainingon standards; unnecessary data duplication, knowledge; definition, rich metadata transfer, conversion; no central establishment, development and Management: data storage and access documentation of management interface; no objective/strategy and exchange processes; application of metadata to key data sets. local workinggroup localinfrastructure Data silolevel: Data valuelevel: singleuse singleuse Resourcetovalidatedecisions low low middle Interoperability: „If I want to share data, I „Myproject/grouphasagreeto „ I should manage data and coordinate it directly with my usea specificplatformfordata strive to use appropriate colleague” management“ standards and tools.” PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No content available.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ -0.03841486573219299, -0.08492325991392136, -0.38723742961883545, -0.13721920549869537, -0.12031875550746918, -0.7897295951843262, 0.498274028301239, -0.01616397313773632, 0.3080727756023407, 0.7731329202651978, 0.476716011762619, 0.19245006144046783, 0.5694443583488464, -0.307061582803726...
record8329305_pdf1_slide19
8329305
Thinking_Data_Management_On_Different_Scales.pdf
19
[ 0.18938226997852325, -0.6002746820449829, 0.2670038640499115, -0.42844510078430176, 0.3017585873603821, -1.021425485610962, -0.6976014971733093, 0.47086387872695923, -0.388830304145813, -0.22908106446266174, -0.4496447443962097, -0.5887517333030701, 0.8825538158416748, -0.04248382896184921...
[ -0.3653954267501831, 0.14456962049007416, -0.0509561188519001, -0.26312583684921265, -0.22250857949256897, -0.07725176960229874, -0.1431766003370285, 0.1823747605085373, 1.1830592155456543, 0.155753031373024, -0.3456101715564728, 0.3705950379371643, 0.09234873950481415, 0.24357925355434418...
[ -0.45160314440727234, -0.46856212615966797, -0.06155842915177345, 0.3430730998516083, -0.2353224903345108, -0.43220236897468567, -0.7842530012130737, -0.4823056161403656, 0.1425275355577469, 0.29189416766166687, -0.16892270743846893, -0.2823660969734192, 0.2197117656469345, 0.3110100328922...
What about the others… 2017 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide20
8329305
Thinking_Data_Management_On_Different_Scales.pdf
20
[ 0.2891567647457123, -0.7873530387878418, -0.08769234269857407, 0.04071921110153198, 0.005165483802556992, -0.17727550864219666, -0.2754431962966919, -0.10323962569236755, -0.2534511685371399, 0.5756092667579651, -0.25065451860427856, -0.7882378101348877, 0.661494791507721, 0.00601593358442...
[ 0.033964816480875015, 0.42234644293785095, -0.21844199299812317, 0.3602309823036194, -0.1093805655837059, 0.07102885842323303, -0.19572782516479492, -0.196168452501297, 0.8798165321350098, -0.03304798901081085, -0.4119991064071655, -0.15367308259010315, -0.07939839363098145, -0.15456162393...
[ 0.48776912689208984, -0.5350376963615417, -0.27601173520088196, 0.25994619727134705, -0.045845504850149155, 0.5451009273529053, -0.25174975395202637, -0.7308269739151001, 0.4390822649002075, 0.6815335750579834, -0.0858837366104126, -0.7195207476615906, 0.13809393346309662, 0.03236877173185...
RDM4mic “Research Data Management for Microscopy” • Open for all • >20 facilities involved • Exchange of experience and knowledge transfer in terms of data management 2017 2019 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide image provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.14576755464076996, -0.18930265307426453, 0.027361739426851273, -0.3425488770008087, -0.11043678969144821, -0.8811519742012024, 0.11742937564849854, -0.02902315929532051, 0.1220182254910469, 0.710002064704895, 0.49157074093818665, 0.11171618103981018, 0.45035430788993835, -0.2617601454257...
record8329305_pdf1_slide21
8329305
Thinking_Data_Management_On_Different_Scales.pdf
21
[ 0.06708649545907974, -0.9234415292739868, 0.12104702740907669, -0.5715028047561646, -0.05952855944633484, -0.2511868178844452, -0.010063162073493004, -0.13177677989006042, 0.19732603430747986, 0.47518783807754517, -0.22386570274829865, -0.7294029593467712, 0.8159324526786804, -0.2131997197...
[ 0.09546076506376266, 0.007087969221174717, -0.24691064655780792, 0.2583513557910919, -0.18003925681114197, -0.22578021883964539, 0.031770285218954086, -0.2609327435493469, 0.9561423063278198, 0.21619614958763123, -0.4777275323867798, -0.2790611982345581, -0.17731037735939026, -0.1090772897...
[ 0.3763764798641205, -0.6011094450950623, 0.26067882776260376, -0.3947038948535919, 0.20488302409648895, 0.12122493237257004, -0.070556640625, -0.6354003548622131, 0.690494954586029, 0.487521231174469, -0.32275649905204773, -0.5748317837715149, 0.7556904554367065, -0.3312336206436157, -0....
2022-2024 I3D:bio Information Infrastructure for BioImage Data Man power to implement the needs of tools, support and training with focus on OMERO and light microscopy 2017 2019 2021 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide22
8329305
Thinking_Data_Management_On_Different_Scales.pdf
22
[ 0.40392711758613586, -0.47162365913391113, 0.09398937225341797, 0.031246298924088478, -0.2447122037410736, -0.12683409452438354, -0.2639094591140747, -0.7860607504844666, -0.056488342583179474, 0.8367721438407898, -0.29792460799217224, -0.1530659943819046, 0.5299319624900818, -0.2636052668...
[ -0.13905605673789978, 0.031741466373205185, -0.03482535853981972, -0.03439335152506828, -0.1361265331506729, 0.21016542613506317, 0.15798531472682953, 0.07535760849714279, 0.22191861271858215, 0.16001296043395996, 0.2809933125972748, 0.160703644156456, -0.14180654287338257, -0.000814478844...
[ -0.07807900011539459, -0.6489486694335938, -0.3502708971500397, 0.05273224785923958, -0.3343279957771301, -0.2816675007343292, -0.2072235494852066, -0.6863786578178406, 0.5996232628822327, 0.6622787117958069, -0.19432199001312256, 0.43417754769325256, 0.11535535007715225, -0.01135816145688...
INDIVIDUAL PROJECT/GROUP INSTITUTIONAL NATIONAL Change management and continious improvements RDM4mic 04 03 02 01 INITIAL BASIC DEVELOPMENT MANAGED Disorganised, ad hoc Deploybasicstructuresandtools Deploystandards Deployvalidationand Status: verificationprocesses, intra domaincrosswalks Different data structures, Reorganisation, definition of Processes are standardisedand Validation andverification subjective documentation; responsibilities, transfer of integrated;Trainingon standards; processes; metadatadescribed unnecessary data duplication, knowledge; definition, rich metadata withconsistentvocabulary transfer, conversion; no central establishment, development and Management: data storage and access documentation of management interface; no objective/strategy and exchange processes; application of metadata to key data sets. local workinggroup localinfrastructure National anddomainspecific Data silolevel: infrastructure Data valuelevel: singleuse singleuse Resourcetovalidatedecisions Resourcetomakedecisions low low middle high Interoperability: „If I want to share data, I „Myproject/grouphasagreeto „ I should manage data and „ I have learnt how to apply coordinate it directly with my usea specificplatformfordata strive to use appropriate data management policies and colleague” management“ standards and tools.” sharing has become much easier.” PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide23
8329305
Thinking_Data_Management_On_Different_Scales.pdf
23
[ -0.11064877361059189, -0.08736605197191238, 0.5735294818878174, 0.08148233592510223, -0.7492255568504333, 0.04582849144935608, 0.19668948650360107, -0.6356260776519775, 0.3020455539226532, 0.6060332655906677, -0.22464489936828613, -0.1652291864156723, 0.3271501064300537, 0.0832999870181083...
[ -0.06573998928070068, 0.10826613008975983, -0.15590472519397736, -0.11412357538938522, 0.09210348129272461, -0.24686141312122345, -0.22232502698898315, -0.06492411345243454, 0.7666341066360474, -0.24236084520816803, -0.18438820540905, -0.0679776668548584, -0.32147902250289917, -0.138851553...
[ 0.020101111382246017, -0.0713115781545639, 0.39999350905418396, -0.19630637764930725, -0.20942266285419464, 0.16535376012325287, 0.2911655306816101, -0.816070020198822, 0.5285605788230896, 0.9648010730743408, -0.07060828059911728, 0.11758184432983398, 0.2946133315563202, -0.117893941700458...
Research Data Management Value of data „The skyisthelimit“– Asset toanswerfuture implicitknowledgeleads questions discoveryefforts Integral todesision Useexplicit knowledge making(must have) fromdata Resourcetomake Metaanalysisusing decisions(goodtohave) aggregateddata Resourcetovalidate Defenddecisions decisions byreanalysingdata *Semantic: the description of the meanings of values and of the Single use Verifynull names of data components hypothesis Degree of interoperability Minimal Rich + Consistent + Semantics* + FullSemantic metadata metadata vocabulary interoperability „On theroadtoFAIR …lessonslearnt.“, SarithaV Kuriakose PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide content available.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10292366147041321, -0.07624047249555588, -0.12439128756523132, -0.08256382495164871, -0.010019730776548386, -0.8111100792884827, 0.09771610796451569, 0.06269703060388565, 0.2009180784225464, 0.7735471129417419, 0.4884708523750305, 0.21679212152957916, 0.42111554741859436, -0.422860890626...
record8329305_pdf1_slide24
8329305
Thinking_Data_Management_On_Different_Scales.pdf
24
[ 0.008756028488278389, -1.0167837142944336, 0.1645967662334442, -0.43594127893447876, 0.15596753358840942, 0.1463398039340973, -0.2561413049697876, 0.19021473824977875, -0.33246910572052, 0.7519654035568237, -0.367448091506958, -0.6331118941307068, 0.9417545795440674, 0.1800486147403717, ...
[ -0.22899578511714935, -0.12909606099128723, -0.28894221782684326, 0.2715723216533661, 0.06538280099630356, 0.21009622514247894, -0.1025567501783371, 0.10406915098428726, 0.8446622490882874, 0.11984317749738693, -0.07012514770030975, 0.008221120573580265, -0.25859561562538147, 0.08769289404...
[ 0.10570497065782547, -0.5077387094497681, 0.46647876501083374, -0.06865564733743668, -0.15751467645168304, 0.1627357006072998, -0.4030440151691437, -0.31165823340415955, -0.32290133833885193, 0.30074837803840637, -0.24545620381832123, -0.9062244892120361, 0.8077124953269958, 0.445217460393...
2023-2028 NFDI4BIOIMAGE 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 National Researchdata Infrastructure for BioImaging: Implement national infrastructure and standards Stefanie Weidtkamp-Peters. (2023, June 22). NFDI4BIOIMAGE -National Research Data Infrastructure for MicroscopyandBioImageAnalysis -Online Kick-Off 2023. Zenodo. https://doi.org/10.5281/zenodo.8070038 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide25
8329305
Thinking_Data_Management_On_Different_Scales.pdf
25
[ 0.1643836945295334, -0.6508461833000183, 0.5746866464614868, -0.6013056039810181, -0.11051169782876968, -0.5525240302085876, -0.48217904567718506, 0.5032737851142883, -0.7044342160224915, 0.471280038356781, 0.19314011931419373, -0.5704552531242371, 1.2142634391784668, -0.14887429773807526,...
[ -0.025836586952209473, -0.08822774887084961, -0.4196431338787079, 0.22464683651924133, 0.4311668276786804, -0.3498461842536926, 0.036498621106147766, 0.1820470690727234, 0.1526155024766922, 0.13284824788570404, -0.08709903061389923, -0.1428271383047104, -0.1566411554813385, -0.212271362543...
[ 0.03368149325251579, -0.6253292560577393, 0.28939855098724365, -0.02332575060427189, -0.013428617268800735, -0.02651914581656456, -0.5318092703819275, -0.5190101265907288, 0.18613362312316895, 0.42324984073638916, -0.20221811532974243, -0.6926491856575012, 0.7432510852813721, 0.32097065448...
2023-2028 NFDI4BIOIMAGE 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide content provided", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.13049043715000153, -0.09806854277849197, -0.07496146112680435, -0.28072282671928406, -0.10098041594028473, -0.9576893448829651, 0.05639226362109184, 0.017173655331134796, 0.10357623547315598, 0.7356470823287964, 0.4695727229118347, 0.17187093198299408, 0.5545345544815063, -0.416721373796...
record8329305_pdf1_slide26
8329305
Thinking_Data_Management_On_Different_Scales.pdf
26
[ 0.237259641289711, -0.9780243635177612, 0.3115064799785614, -0.3210314214229584, -0.1305057257413864, -0.32236161828041077, -0.28376471996307373, -0.019747668877243996, -0.3598681092262268, 0.6422139406204224, -0.3653125762939453, -0.4112660586833954, 1.2525428533554077, 0.2081341892480850...
[ 0.19894389808177948, 0.017537876963615417, -0.30654191970825195, 0.3902307152748108, 0.15347135066986084, -0.24939794838428497, -0.026829805225133896, 0.15346504747867584, 0.6400074362754822, 0.07537651807069778, -0.03799356892704964, 0.17346487939357758, 0.03333314135670662, -0.2177843451...
[ -0.08699243515729904, -0.3147088289260864, -0.10734739899635315, -0.3147050142288208, 0.00293702632188797, -0.04076520353555679, -0.5179634690284729, -0.5199815630912781, 0.007914540357887745, 0.7023090720176697, -0.27966657280921936, -0.7487648725509644, 1.188177466392517, -0.018049633130...
2023-2028 NFDI4BIOIMAGE 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 NFDI4BIOIMAGE Consortium. (2021). Section 5.1 "Task Area 1: Image (meta)data formats and standardization)" Figure 8 (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7394675 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide27
8329305
Thinking_Data_Management_On_Different_Scales.pdf
27
[ -0.1431889533996582, -0.6922593712806702, 0.0006063339533284307, -0.47804516553878784, -0.0389004722237587, 0.033909548074007034, -0.26692232489585876, 0.46963295340538025, -0.20568321645259857, 0.5116943120956421, -0.3207399547100067, -0.4685591459274292, 1.048292636871338, -0.06761848926...
[ -0.05609816312789917, 0.16054268181324005, -0.5129020810127258, 0.8865998387336731, -0.39573580026626587, -0.1088239774107933, 0.044380247592926025, -0.1660003364086151, 0.7674877047538757, 0.11043709516525269, 0.03391392156481743, 0.02340918593108654, -0.28183332085609436, 0.2128281891345...
[ -0.19574642181396484, -0.6220925450325012, 0.2651383578777313, -0.060869503766298294, 0.057155244052410126, 0.21873408555984497, -0.4279889464378357, -0.30769261717796326, -0.17270207405090332, 0.175692617893219, -0.17457473278045654, -0.6658983826637268, 0.8760399222373962, 0.221333399415...
2023-2028 NFDI4BIOIMAGE The success of NFDI highly depends on an institutional commitment. 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 National Researchdata Infrastructure for BioImaging: Implement national infrastructure and standards 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide28
8329305
Thinking_Data_Management_On_Different_Scales.pdf
28
[ 0.31505870819091797, -0.19265225529670715, -0.15424251556396484, 0.15905418992042542, -0.22940360009670258, 0.5269510746002197, -0.05925709381699562, -0.633160412311554, 0.2537378668785095, 0.9723536968231201, -0.2770214378833771, -0.14927275478839874, 0.28988778591156006, 0.08797023445367...
[ -0.034915708005428314, -0.03928763419389725, -0.044749774038791656, 0.02561512589454651, -0.2284967303276062, 0.16638219356536865, 0.22888559103012085, 0.08437028527259827, 0.2585775554180145, 0.17833872139453888, 0.33694666624069214, 0.09821105003356934, -0.1855877786874771, 0.03286081179...
[ -0.23684459924697876, -0.3568669855594635, -0.36333560943603516, 0.005256607662886381, -0.3070533275604248, -0.11224604398012161, -0.13673101365566254, -0.5793357491493225, 0.3557482659816742, 0.4108557105064392, 0.0846606120467186, 0.4865991473197937, 0.01575578935444355, 0.03311633691191...
INDIVIDUAL PROJECT/GROUP INSTITUTIONAL NATIONAL INTERNATIONAL Change management and continious improvements RDM4mic 05 04 03 02 01 INITIAL BASIC DEVELOPMENT MANAGED OPTIMIZED Disorganised, ad hoc Deploybasicstructuresandtools Deploystandards Deployvalidationand Deployinterdomaincrosswalks Status: verificationprocesses, intra domaincrosswalks Different data structures, Reorganisation, definition of Processes are standardisedand Validation andverification Data arerichon context(full subjective documentation; responsibilities, transfer of integrated;Trainingon standards; processes; metadatadescribed semantic); unnecessary data duplication, knowledge; definition, rich metadata withconsistentvocabulary StandardisedAPI; harmonized transfer, conversion; no central establishment, development and andinteroperable data; Management: data storage and access documentation of management coherencein formatandcontext interface; no objective/strategy and exchange processes; application of metadata to key data sets. local workinggroup localinfrastructure National anddomainspecific Data silolevel: infrastructure Data valuelevel: singleuse singleuse Resourcetovalidatedecisions Resourcetomakedecisions Asset toanswerfuturequestions low low middle high high Interoperability: „If I want to share data, I „Myproject/grouphasagreeto „ I should manage data and „ I have learnt how to apply „ I find that I can easily coordinate it directly with my usea specificplatformfordata strive to use appropriate data management policies and discover, access, combine colleague” management“ standards and tools.” sharing has become much and publish data". easier.” adaptedfromMedyckyj-Scott, David et al. (2016). OurLand andWaterNational Science Challenge -A Data PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck EcosystemforLand andWaterData toAchievetheChallenge Mission.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide29
8329305
Thinking_Data_Management_On_Different_Scales.pdf
29
[ 0.042114321142435074, -0.5593619346618652, 0.19467616081237793, -0.10903918743133545, 0.13549014925956726, -0.3356860280036926, -0.13806241750717163, -0.220553457736969, -0.5459162592887878, 0.5109553337097168, -0.3916074335575104, -0.7737796306610107, 1.2349088191986084, -0.30291277170181...
[ 0.2692216634750366, -0.43472957611083984, -0.19867993891239166, -0.02796245738863945, 0.15882357954978943, -0.182532399892807, 0.3455689251422882, 0.10463248193264008, 0.23008978366851807, 0.30151307582855225, -0.4903225600719452, -0.20561808347702026, 0.11396745592355728, 0.22613415122032...
[ 0.08647181838750839, -0.8356134295463562, 0.6977763175964355, -0.3338378965854645, 0.08466952294111252, -0.0895962044596672, 0.18417343497276306, -0.27990779280662537, 0.27574169635772705, 0.35511887073516846, 0.09391491115093231, -0.5424554347991943, 0.30102136731147766, -0.07306402921676...
https://german-bioimaging.github.io/RDM4mic.github.io/ https://gerbi-gmb.de/i3dbio/i3dbio-about/ https://nfdi4bioimage.de/en/start/ RDM4mic I3D:bio NFDI4BIOIMAGE PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329305_pdf1_slide30
8329305
Thinking_Data_Management_On_Different_Scales.pdf
30
[ 0.16120745241641998, -0.41910839080810547, 0.33455055952072144, -0.5228970646858215, 0.12662053108215332, -0.13113990426063538, -0.296927273273468, -0.3779938817024231, 0.004930696915835142, 0.3530329763889313, -0.6313515305519104, -0.5291776657104492, 0.8674609661102295, 0.010607570409774...
[ -0.14723511040210724, 0.330288290977478, -0.06974463164806366, 0.20174436271190643, -0.1979115903377533, -0.06369104236364365, -0.1400829553604126, 0.19629113376140594, 0.860243558883667, 0.13033726811408997, -0.47231122851371765, -0.1247757226228714, -0.27457043528556824, 0.16494780778884...
[ 0.11450247466564178, -0.9344953894615173, 0.5799667835235596, -0.07501423358917236, 0.25354763865470886, 0.1840106099843979, 0.0429224818944931, -0.392450213432312, -0.06282530725002289, -0.008409709669649601, 0.07291187345981598, -0.59810471534729, 0.6978368163108826, 0.004573497455567121...
Acknowledgements  Karen Bernhardt (IT UOS, I3D:bio)  Tom Boissonnet (I3D:bio)  Roland Brandt (I3D:bio, QUAREP-LIMI)  Jean-Marie Burel (OME)  Julia Dohle (UOS, I3D:bio)  Elisa Ferrando-May (I3D:bio, NFDI4BIOIMAGE)  Jan Gelwer (IT UOS)  Michael Hensel (CRC 944 UOS)  Rainer Kurre (iBiOs UOS)  Victoria Liss (CRC 1557 UOS)  Josh Moore (OME, RDM4mic, NFDI4BIOIMAGE)  Andreas Müller (IT UOS)  Stefanie Weidtkamp-Peters (GerBi, RDM4mic, I3D:bio, NFDI4BIOIMAGE)  Tobias Wernet (I3D:bio)  Thomas Zobel (RDM4mic, GerBi) PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide1
8329306
Thinking_Data_Management_On_Different_Scales.pdf
1
[ -0.0930376648902893, -0.518756091594696, 0.18282032012939453, -0.410395085811615, -0.23483134806156158, -0.49058613181114197, -0.513423502445221, -0.569300651550293, 0.16871102154254913, 0.6519452929496765, -0.08114313334226608, 0.36094415187835693, 0.4853023588657379, -0.26259368658065796...
[ -0.2021186351776123, 0.3407346308231354, -0.624403715133667, 0.004193579312413931, 0.15935613214969635, 0.36046135425567627, -0.37189576029777527, -0.0351361520588398, 0.8159744739532471, 0.2262040227651596, -0.42418310046195984, -0.12247936427593231, -0.22642968595027924, 0.10480157285928...
[ -0.2419656664133072, -0.8287616968154907, 0.6457552909851074, -0.32348814606666565, 0.047821201384067535, -0.6512302756309509, -0.37927982211112976, -0.35811129212379456, -0.137938991189003, 0.2970525622367859, 0.06896592676639557, -0.1386648714542389, 0.9325630068778992, 0.072561547160148...
Thinking data management on different scales Susanne Kunis These slidescanbereusedundertheCC BY-SA 4.0licenseunlessmentionedotherwise
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide2
8329306
Thinking_Data_Management_On_Different_Scales.pdf
2
[ 0.328543096780777, -0.66294926404953, 0.21748954057693481, -0.23274795711040497, 0.09978998452425003, -0.14875896275043488, -0.3129406273365021, 0.12563465535640717, -0.015153425745666027, 0.047129981219768524, -0.4376121759414673, -0.5065950751304626, 0.9578502178192139, -0.28181433677673...
[ -0.32487499713897705, 0.35219553112983704, -0.3696053624153137, 0.19072476029396057, -0.25282150506973267, 0.03540744259953499, -0.10561900585889816, -0.15627534687519073, 0.8346508145332336, -0.14703786373138428, -0.04240741953253746, -0.44575223326683044, -0.3123437762260437, -0.02172626...
[ 0.46195682883262634, -0.9189056158065796, 0.47781768441200256, -0.06680578738451004, -0.04400601238012314, 0.04613405838608742, -0.3724372386932373, -0.0886121466755867, -0.029333490878343582, 0.08022790402173996, -0.041067443788051605, -0.37798362970352173, 0.6949227452278137, 0.046685554...
Research Data Management • Logistical necessity • Ensures Integrity, reproducibility and transferability • Protects data loss • Fosters collaboration • Provides transparency PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide content provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.17351946234703064, -0.0831555724143982, -0.05339726433157921, -0.23672759532928467, -0.11194629222154617, -0.9067495465278625, 0.035868119448423386, 0.005495762452483177, 0.09054258465766907, 0.7727570533752441, 0.4933684468269348, 0.20517410337924957, 0.49538689851760864, -0.43691459298...
record8329306_pdf1_slide3
8329306
Thinking_Data_Management_On_Different_Scales.pdf
3
[ 0.08400223404169083, -0.6262810230255127, -0.04674077406525612, -0.33113136887550354, -0.09501445293426514, -0.35275110602378845, -0.46968501806259155, -0.2135111540555954, 0.025787247344851494, 0.901305079460144, -0.32302728295326233, -0.16899240016937256, 0.4133663475513458, -0.554156780...
[ -0.1882055550813675, -0.1014808937907219, -0.3427616357803345, 0.06049313396215439, 0.26233625411987305, -0.43663734197616577, 0.10358304530382156, 0.16340041160583496, 0.13254296779632568, 0.08498047292232513, -0.16342416405677795, 0.23830288648605347, -0.45520487427711487, -0.31507599353...
[ -0.000307234819047153, -0.5718694925308228, 0.32567107677459717, 0.16971845924854279, -0.2916295528411865, 0.07688970863819122, 0.11165904998779297, -0.4985876679420471, 0.4178389310836792, 0.48019707202911377, -0.36535394191741943, 0.5663033127784729, -0.24795936048030853, 0.1599240154027...
INDIVIDUAL INTERNATIONAL 05 04 03 02 01 INITIAL BASIC DEVELOPMENT MANAGED OPTIMIZED Disorganised, ad hoc Deployinterdomaincrosswalks Status: Different data structures, Data arerichon context(full subjective documentation; semantic); unnecessary data duplication, StandardisedAPI; harmonized transfer, conversion; no central andinteroperable data; Management: data storage and access coherencein formatandcontext interface; no objective/strategy local Data silolevel: Data valuelevel: singleuse Asset toanswerfuturequestions low high Interoperability: „If I want to share data, I „ I find that I can easily coordinate it directly with my discover, access, combine colleague” and publish data". PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide4
8329306
Thinking_Data_Management_On_Different_Scales.pdf
4
[ 0.6233994960784912, -0.4319303035736084, 0.07691115140914917, -0.24271038174629211, -0.014394715428352356, 0.4325597584247589, -0.4829828441143036, -0.35127419233322144, 0.4663164019584656, 0.32319051027297974, -0.39567723870277405, -0.7176187634468079, 0.6988406181335449, -0.1654146611690...
[ -0.4427556097507477, -0.459011971950531, 0.21220368146896362, -0.0993499755859375, -0.02504737675189972, 0.2091175615787506, 0.021568549796938896, 0.39422520995140076, 0.1613682210445404, 0.015436016954481602, 0.15326440334320068, 0.4204081892967224, 0.20609860122203827, 0.3453279137611389...
[ 0.22685585916042328, -0.37443429231643677, -0.30452239513397217, 0.030035382136702538, 0.4148927927017212, 0.3713494837284088, -0.22886478900909424, -0.7853741645812988, 0.7089433670043945, 0.07253215461969376, 0.12156643718481064, -0.23305630683898926, 0.3208051025867462, -0.0457900948822...
Important spokes in the wheel Raise awareness of research data Supportand customized management importance; solutionsfor specific problems Teachingdata management technics in the management of research and tools data Technical infrastructureand related Ensure quality, add metadata, servicesthat support researcher in and ensure compliance with data management throughout the standards and policies. research cycle PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide5
8329306
Thinking_Data_Management_On_Different_Scales.pdf
5
[ 0.6465098857879639, -0.22638459503650665, 0.5396066904067993, -0.40721437335014343, -0.057426758110523224, 0.554075300693512, -0.10573683679103851, -0.4283080995082855, 0.25874438881874084, 0.5320094227790833, -0.6862248182296753, -0.3918111026287079, 0.7260557413101196, -0.148093059659004...
[ -0.47997915744781494, -0.3040759861469269, 0.4545677900314331, -0.12249933928251266, -0.11135413497686386, 0.03130770102143288, 0.018839390948414803, 0.5762519836425781, 0.3047449290752411, -0.015049586072564125, 0.22026439011096954, 0.4451572597026825, 0.3535108268260956, 0.36823308467864...
[ 0.19560874998569489, -0.15339313447475433, -0.06870108842849731, -0.0224390160292387, 0.09979277849197388, 0.6231299042701721, -0.08725488930940628, -0.7088583707809448, 0.6736525297164917, 0.526405930519104, 0.13169501721858978, 0.09324096143245697, -0.010860213078558445, -0.2879762649536...
Important spokes in the wheel Raise awareness of research data Supportand customized management importance; solutionsfor specific problems Teachingdata management technics in the management of research and tools data Technical infrastructureand related Ensure quality, add metadata, servicesthat support researcher in and ensure compliance with data management throughout the standards and policies. research cycle Data standards are necessary to break down data silos and create interoperabilityand coherence. They ensure that data retain their value and meaning and are usable, consistent and accurate. PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide6
8329306
Thinking_Data_Management_On_Different_Scales.pdf
6
[ 0.11516468971967697, 0.44545871019363403, -0.3134644329547882, 0.005582023411989212, -0.39831435680389404, 0.8679764866828918, -0.24939686059951782, -0.31523531675338745, 1.0421783924102783, 0.3874581754207611, -0.34880128502845764, 0.20417718589305878, 0.24790608882904053, 0.2550017535686...
[ 0.3695116937160492, 0.42360052466392517, 0.3766290247440338, -0.013604125007987022, 0.01290582213550806, 0.31229349970817566, -0.23783662915229797, 0.27659639716148376, 0.9874284863471985, 0.023625828325748444, -0.010675448924303055, -0.11800501495599747, -0.09245967864990234, -0.300695329...
[ -0.5698425769805908, -0.42269545793533325, 0.37816816568374634, -0.04763082414865494, -0.2692420482635498, -0.2441205382347107, 0.2676253914833069, -0.4732448160648346, 0.8944961428642273, 0.3834402561187744, 0.0752163678407669, -0.10483919084072113, 0.1205887645483017, 0.6012952327728271,...
Integration of data management in an existing ecosystem
{ "Content": "No slide content provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.17351946234703064, -0.0831555724143982, -0.05339726433157921, -0.23672759532928467, -0.11194629222154617, -0.9067495465278625, 0.035868119448423386, 0.005495762452483177, 0.09054258465766907, 0.7727570533752441, 0.4933684468269348, 0.20517410337924957, 0.49538689851760864, -0.43691459298...
record8329306_pdf1_slide7
8329306
Thinking_Data_Management_On_Different_Scales.pdf
7
[ -0.3346398174762726, -0.6782418489456177, 0.2212425321340561, -0.5087700486183167, 0.2845693528652191, -0.07165224850177765, -0.5127052068710327, 0.3596213161945343, -0.23037494719028473, 0.4041353166103363, 0.3299776017665863, -0.3107404410839081, 0.9070285558700562, -0.13380222022533417,...
[ -0.5394750833511353, 0.14469259977340698, -0.19940584897994995, -0.14358866214752197, -0.5661599040031433, -0.10575211048126221, 0.06534385681152344, -0.08586974442005157, 0.9124992489814758, -0.032901715487241745, -0.11968628317117691, -0.35133951902389526, -0.1987086981534958, -0.2264290...
[ -0.33120664954185486, -0.749619722366333, 0.7388370633125305, -0.08934158086776733, -0.14740042388439178, 0.3441556990146637, -0.044233184307813644, -0.21196964383125305, 0.12369880080223083, 0.5657811164855957, 0.3721141219139099, -0.8479804992675781, 0.402199387550354, -0.049141924828290...
Department Biology Research groups • Animal Physiology • Genetics • Behavioural Biology • Microbiology • Bioanalytical Chemistry • Molecular Cell Biology • Biochemistry • Molecular Cell Biophysics • Biodiversity and Landscape • Molecular Infection Biology 19 Ecology • Neurobiology • Biology Didactics • Plant Physiology • Biophysics • Structural Biology • Botany • Zoology • Cellular Communication • Ecology PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide8
8329306
Thinking_Data_Management_On_Different_Scales.pdf
8
[ -0.27148494124412537, -1.406354308128357, 0.6713868975639343, -0.10034883767366409, -0.19027024507522583, 0.03129703179001808, -0.6001352667808533, 0.13284006714820862, 0.2002171277999878, 0.3271618187427521, -0.035531237721443176, -0.5791962742805481, 0.9050021767616272, 0.039495550096035...
[ -0.08343533426523209, -0.19592230021953583, 0.1941375881433487, -0.20619012415409088, -0.6948965191841125, -0.09032386541366577, 0.046761151403188705, -0.23036742210388184, 0.8691039681434631, -0.2318386435508728, -0.23701773583889008, -0.22452114522457123, -0.0730757936835289, -0.30103093...
[ -0.1297478824853897, -0.8859421610832214, 0.5878388285636902, -0.155452162027359, -0.045360907912254333, 0.21121864020824432, -0.30874550342559814, -0.2546163499355316, 0.38598427176475525, 0.2723122835159302, 0.521097719669342, -0.9244831204414368, 0.44553202390670776, 0.319154292345047, ...
Department Biology Research Facility & Service groups 12 Light Microscopy 6 Electron Microscopy 5 Cytometry & FACS 19 iBiOs DeltaVision Leica SP5 Lattice Olympus Olympus Olympus Light-Sheet FV 1000 FV 3000 TIRF 1-LINE Mass Olympus Olympus Olympus Zeiss LSM Zeiss 880 Zeiss TIRF 3-LINE TIRF 4-LINE TIRF 4-LINE 510 AiryScan Spinning Disk Spectrometry FRAP PAINT PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "", "Language": "", "Knowledge Level": "", "Learning Perspective": "" }
[ 0.14633260667324066, -0.12895728647708893, -0.30976182222366333, -0.3894674479961395, -0.1489965319633484, -0.44797980785369873, 0.29982778429985046, -0.2666310667991638, 0.15478074550628662, 0.6774430274963379, 0.15395040810108185, 0.4520129859447479, 0.6754724383354187, -0.11448057740926...
record8329306_pdf1_slide9
8329306
Thinking_Data_Management_On_Different_Scales.pdf
9
[ -0.36154240369796753, -0.632206916809082, 0.3348083794116974, -0.34746915102005005, 0.27767428755760193, -0.32150474190711975, -0.5704647898674011, 0.14823175966739655, -0.2938558757305145, -0.18579773604869843, -0.012724528089165688, -0.4852752685546875, 0.9617682099342346, -0.12588693201...
[ 0.01800490915775299, -0.1807602494955063, 0.023106463253498077, -0.05142982304096222, -0.6988439559936523, -0.16452892124652863, 0.09175974130630493, -0.0466659851372242, 1.032305359840393, -0.2340306043624878, -0.49595412611961365, -0.2823598086833954, -0.11593616008758545, -0.30364665389...
[ -0.08025014400482178, -0.5993450880050659, 0.6108809113502502, -0.14521987736225128, -0.0954127311706543, 0.2912050485610962, -0.2729300856590271, -0.26140961050987244, 0.6051220297813416, 0.24033983051776886, 0.35077905654907227, -0.6546589136123657, 0.40054211020469666, 0.214406058192253...
Department Biology Research Facility & Service Research Center groups 19 iBiOs CellNanOs Mass Spectrometry PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide10
8329306
Thinking_Data_Management_On_Different_Scales.pdf
10
[ -0.038556281477212906, -0.6030936241149902, -0.2649533748626709, 0.20122118294239044, 0.05867350846529007, -0.49218448996543884, -0.371664434671402, -0.07658186554908752, -0.2930965721607208, 0.6081163287162781, -0.6556941270828247, -0.2931413948535919, 0.9101524353027344, -0.1029694750905...
[ 0.0502033457159996, -0.2526707947254181, -0.11508526653051376, 0.010264640673995018, 0.2965724468231201, -0.17956607043743134, 0.23229555785655975, -0.022479301318526268, 0.414671391248703, 0.11168037354946136, -0.03043084591627121, 0.4541782736778259, -0.1985674500465393, 0.04033358395099...
[ 0.19872115552425385, -0.5346526503562927, -0.3051474690437317, -0.3631379306316376, 0.07965748012065887, -0.01145173516124487, -0.4650140404701233, -0.17277677357196808, 0.3915659189224243, 0.7506120800971985, -0.25984570384025574, -0.10428208112716675, 0.28643879294395447, -0.048462137579...
Ecosystem 2015 … Research group member Research group Community/External and desktop system specific server Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide11
8329306
Thinking_Data_Management_On_Different_Scales.pdf
11
[ -0.12368907034397125, -0.971167802810669, -0.25125208497047424, 0.07179933041334152, 0.16037757694721222, -0.32049867510795593, -0.40769320726394653, -0.027529854327440262, -0.03292126953601837, 0.6360145807266235, -0.5195181369781494, -0.46022626757621765, 0.8507547974586487, -0.217536956...
[ 0.061399202793836594, -0.23031722009181976, -0.0009543984197080135, 0.0036798068322241306, 0.16663947701454163, -0.2616436183452606, 0.15177355706691742, -0.20587795972824097, 0.4789581000804901, 0.21022386848926544, -0.19446028769016266, 0.30177202820777893, -0.18932779133319855, -0.18996...
[ 0.058483149856328964, -0.7261073589324951, -0.26176759600639343, -0.4159072935581207, 0.09706329554319382, 0.39399924874305725, -0.35865557193756104, -0.38556337356567383, 0.4989822506904602, 0.6034220457077026, -0.28495535254478455, -0.28496867418289185, 0.3544638454914093, -0.06758651137...
Ecosystem 2015 … Research group member Research group Analysis Microscopy Community/External and desktop system specific server workstations workstations Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide12
8329306
Thinking_Data_Management_On_Different_Scales.pdf
12
[ -0.07477907836437225, -0.9560651183128357, -0.2391030490398407, -0.01586504839360714, 0.028645016252994537, -0.35031238198280334, -0.4177427887916565, 0.061256714165210724, -0.005337090231478214, 0.6036773324012756, -0.5363016724586487, -0.3513530194759369, 0.8736541271209717, -0.321567118...
[ 0.1463298350572586, -0.19734114408493042, 0.030537936836481094, -0.13269267976284027, 0.35810038447380066, -0.1751343458890915, 0.09289399534463882, -0.18562239408493042, 0.6752995848655701, 0.09800415486097336, -0.17926013469696045, 0.3716636598110199, -0.22874073684215546, -0.11780842393...
[ -0.038995929062366486, -0.7259057760238647, -0.0901394635438919, -0.17990772426128387, 0.08094033598899841, 0.09217028319835663, -0.4533941447734833, -0.3227809965610504, 0.5071076154708862, 0.6657799482345581, -0.18860876560211182, -0.1859949380159378, 0.3018473982810974, 0.06351616978645...
Ecosystem 2015 … Research group member Research group Analysis Microscopy Multiple data Community/External and desktop system specific server workstations workstations formats Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide13
8329306
Thinking_Data_Management_On_Different_Scales.pdf
13
[ -0.09911341965198517, -0.9786968231201172, -0.21168237924575806, -0.0037330484483391047, -0.05062166973948479, -0.3785184919834137, -0.3921469748020172, 0.011148666962981224, 0.023160947486758232, 0.6311047673225403, -0.5575322508811951, -0.3565208613872528, 0.9481163024902344, -0.31377232...
[ 0.035408467054367065, -0.3157739043235779, 0.09237927943468094, -0.20557980239391327, 0.20888370275497437, -0.14810098707675934, 0.21264474093914032, -0.06550975888967514, 0.6048035025596619, 0.11299546808004379, -0.2534659206867218, 0.2511320114135742, -0.019786817952990532, 0.24667468667...
[ -0.07952471077442169, -0.5016788244247437, -0.003260104451328516, 0.18311850726604462, -0.026138097047805786, 0.19778256118297577, -0.39847883582115173, -0.4439697563648224, 0.6821333169937134, 0.742272138595581, -0.5938228964805603, -0.11670959740877151, 0.28605350852012634, -0.0761321634...
Ecosystem 2015 … Research group member Research group Analysis Microscopy Multiple data MyShare Community/External and desktop system specific server workstations workstations formats Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide14
8329306
Thinking_Data_Management_On_Different_Scales.pdf
14
[ 0.005221258383244276, -0.42465460300445557, -0.4637114703655243, -0.007974729873239994, -0.43617910146713257, -0.26596492528915405, -0.08870691061019897, 0.34780579805374146, 0.2653442919254303, 0.3224768042564392, -0.737142026424408, -0.1288117915391922, 1.0483874082565308, 0.302685230970...
[ 0.3236277997493744, -0.28019705414772034, 0.2257276475429535, 0.0444069430232048, 0.08086731284856796, -0.19737675786018372, 0.19640007615089417, -0.2190561145544052, 0.6096410155296326, 0.05795019492506981, -0.3098585903644562, 0.013418210670351982, 0.04521217197179794, 0.0562428794801235...
[ 0.04669566825032234, -0.1747203767299652, -0.1775204986333847, -0.07609500735998154, -0.19809329509735107, 0.5785539746284485, 0.05438379570841789, -0.04824670031666756, 0.9848312735557556, 0.6002392172813416, -0.2817901074886322, -0.28220900893211365, 0.4287365674972534, -0.01383494865149...
OMERO productiv server Ecosystem 2016 NFS 1.4 PB … OMERO backup Nightly backup on tape 4xdaily snapshots Research group member Research group Analysis Microscopy Central OMERO repository Community/External and desktop system specific server workstations workstations Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide was provided for analysis.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.030718015506863594, -0.03355105221271515, -0.04376251995563507, -0.056974753737449646, -0.3709310293197632, -0.8085917830467224, 0.2902778089046478, -0.06569992750883102, 0.16152352094650269, 0.847435474395752, 0.6100239157676697, 0.1667363941669464, 0.12504670023918152, -0.4555673301219...
record8329306_pdf1_slide15
8329306
Thinking_Data_Management_On_Different_Scales.pdf
15
[ -0.24564287066459656, -0.25806835293769836, -0.7303611040115356, -0.05631611868739128, -0.6529123187065125, 0.2963610589504242, -0.2393750548362732, 0.08193644881248474, 0.33784499764442444, 0.9206397533416748, -0.5181959867477417, 0.03615739569067955, 0.6325972676277161, 0.192274585366249...
[ 0.1978476345539093, -0.15217986702919006, 0.17196516692638397, 0.022777928039431572, 0.005849879700690508, -0.21384266018867493, 0.12394024431705475, -0.20288144052028656, 0.6265825629234314, 0.11917418986558914, -0.047162510454654694, 0.060295991599559784, 0.19871306419372559, 0.066826321...
[ -0.06749282777309418, -0.40013962984085083, -0.34813693165779114, -0.0032431890722364187, 0.31296831369400024, 0.35255879163742065, -0.2911493182182312, -0.7157219648361206, 0.9137775301933289, 0.5245305299758911, -0.3429224491119385, -0.41302490234375, 0.4992498457431793, 0.32610583305358...
+ Metadata input forms Ecosystem 2022 + Public group + File sharing functionality + fast and unlimited webdownload … + Web import + Central OMERO.insight instance Research group member Research group Analysis Microscopy Central OMERO repository Community/External and desktop system specific server workstations workstations with extensions Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide content available.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10292366147041321, -0.07624047249555588, -0.12439128756523132, -0.08256382495164871, -0.010019730776548386, -0.8111100792884827, 0.09771610796451569, 0.06269703060388565, 0.2009180784225464, 0.7735471129417419, 0.4884708523750305, 0.21679212152957916, 0.42111554741859436, -0.422860890626...
record8329306_pdf1_slide16
8329306
Thinking_Data_Management_On_Different_Scales.pdf
16
[ -0.09160657227039337, -0.8316230177879333, -0.4517560601234436, -0.16035345196723938, 0.013458069413900375, -0.3160354197025299, -0.21189682185649872, 0.09050663560628891, 0.06677375733852386, 0.4824049174785614, -0.4741678535938263, -0.25860795378685, 0.85597825050354, 0.01395882666110992...
[ 0.20022337138652802, -0.2222408652305603, 0.0589701384305954, -0.07573824375867844, 0.300113320350647, -0.13011440634727478, 0.20071151852607727, -0.22630305588245392, 0.9143869876861572, -0.08626388758420944, -0.30829283595085144, 0.21043352782726288, 0.06663282215595245, 0.26762464642524...
[ 0.13591468334197998, -0.2988867163658142, -0.2692393958568573, -0.09181885421276093, 0.191859632730484, 0.458559513092041, -0.15918231010437012, -0.3822551369667053, 0.6784263849258423, 0.6899279952049255, -0.42049387097358704, -0.22882910072803497, 0.40709227323532104, 0.15438294410705566...
Ecosystem 2022 … Research group member Research group Analysis Microscopy Central OMERO repository Community/External and desktop system specific server workstations workstations -> Linking of different data types Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "None", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10112547874450684, -0.007856969721615314, -0.34368306398391724, -0.5292714238166809, -0.27800750732421875, -0.8646174073219299, 0.31772950291633606, -0.0020903819240629673, 0.0058851903304457664, 0.7165218591690063, 0.3458453118801117, 0.17842161655426025, 0.5413120985031128, -0.31728523...
record8329306_pdf1_slide17
8329306
Thinking_Data_Management_On_Different_Scales.pdf
17
[ 0.0006612812867388129, -0.8566587567329407, -0.41207951307296753, -0.17061001062393188, 0.14193394780158997, -0.3084450960159302, -0.2800748348236084, 0.006342018488794565, 0.11822957545518875, 0.5835932493209839, -0.3341943025588989, -0.4056258201599121, 0.9369997382164001, -0.05841432511...
[ 0.17792685329914093, -0.10656720399856567, 0.18905247747898102, -0.10507907718420029, 0.20991143584251404, 0.006535561755299568, 0.16694337129592896, -0.2108762115240097, 0.828445315361023, 0.09129374474287033, -0.2978300154209137, 0.27150216698646545, 0.07119432836771011, 0.13224373757839...
[ 0.01610151119530201, -0.5968233346939087, -0.193495512008667, -0.2860954999923706, 0.1496644765138626, 0.6125817894935608, -0.14581315219402313, -0.5188266038894653, 0.7492071390151978, 0.5203943848609924, -0.2668772041797638, -0.32832351326942444, 0.33111199736595154, 0.14659518003463745,...
Ecosystem 2023 … Research group member Research group Analysis Microscopy Central OMERO & ELN instance Community/External and desktop system specific server workstations workstations -> Linking of different data types Collaborators Parts of graphics from Autor: Seobility-Lizenz: CC BY-SA 4.0 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide provided for analysis.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.022017301991581917, -0.044314906001091, -0.03032681532204151, -0.29075804352760315, -0.27511921525001526, -0.81407630443573, 0.28072667121887207, -0.04122476279735565, 0.0955033227801323, 0.8732573986053467, 0.5336466431617737, 0.20857924222946167, 0.22006425261497498, -0.511300742626190...
record8329306_pdf1_slide18
8329306
Thinking_Data_Management_On_Different_Scales.pdf
18
[ 0.26207444071769714, -0.7217985391616821, 0.046372827142477036, -0.24036270380020142, -0.23432821035385132, -0.30851244926452637, -0.4170645773410797, -0.6130335927009583, 0.2083246260881424, 0.6849879622459412, -0.14024598896503448, -0.05764489993453026, 0.557451069355011, -0.741380214691...
[ -0.22254931926727295, -0.1195962056517601, -0.30503252148628235, -0.14714041352272034, 0.08536683768033981, 0.21594539284706116, -0.03177037835121155, 0.06888415664434433, 0.3866877555847168, 0.03908166661858559, 0.22081096470355988, 0.08834876120090485, -0.2722359001636505, -0.17467619478...
[ 0.08867454528808594, -0.6742584705352783, 0.08268164098262787, -0.4699808657169342, -0.31332188844680786, -0.23913906514644623, -0.46990883350372314, -0.6279617547988892, 0.3564718961715698, 0.3824921250343323, 0.2034575343132019, 0.47579747438430786, 0.13809117674827576, -0.03854858502745...
INDIVIDUAL PROJECT/GROUP INSTITUTIONAL Change management and continious improvements 03 02 01 INITIAL BASIC DEVELOPMENT Disorganised, ad hoc Deploybasicstructuresandtools Deploystandards Status: Different data structures, Reorganisation, definition of Processes are standardisedand subjective documentation; responsibilities, transfer of integrated;Trainingon standards; unnecessary data duplication, knowledge; definition, rich metadata transfer, conversion; no central establishment, development and Management: data storage and access documentation of management interface; no objective/strategy and exchange processes; application of metadata to key data sets. local workinggroup localinfrastructure Data silolevel: Data valuelevel: singleuse singleuse Resourcetovalidatedecisions low low middle Interoperability: „If I want to share data, I „Myproject/grouphasagreeto „ I should manage data and coordinate it directly with my usea specificplatformfordata strive to use appropriate colleague” management“ standards and tools.” PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.17982710897922516, -0.12809379398822784, -0.11365160346031189, -0.25655436515808105, -0.23261040449142456, -0.9341620802879333, 0.13532418012619019, -0.06365566700696945, 0.08392837643623352, 0.8178583979606628, 0.5771794319152832, 0.2236187905073166, 0.4243479371070862, -0.3686064481735...
record8329306_pdf1_slide19
8329306
Thinking_Data_Management_On_Different_Scales.pdf
19
[ 0.18938226997852325, -0.6002746820449829, 0.2670038640499115, -0.42844510078430176, 0.3017585873603821, -1.021425485610962, -0.6976014971733093, 0.47086387872695923, -0.388830304145813, -0.22908106446266174, -0.4496447443962097, -0.5887517333030701, 0.8825538158416748, -0.04248382896184921...
[ -0.3653954267501831, 0.14456962049007416, -0.0509561188519001, -0.26312583684921265, -0.22250857949256897, -0.07725176960229874, -0.1431766003370285, 0.1823747605085373, 1.1830592155456543, 0.155753031373024, -0.3456101715564728, 0.3705950379371643, 0.09234873950481415, 0.24357925355434418...
[ -0.18008652329444885, -0.8510157465934753, 0.07966218888759613, -0.029695753008127213, -0.03121950849890709, -0.5030850172042847, -0.7368492484092712, -0.32641589641571045, -0.2661772668361664, 0.1018761619925499, -0.2076309472322464, -0.4904099702835083, 0.6148529648780823, 0.113285809755...
What about the others… 2017 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.17982710897922516, -0.12809379398822784, -0.11365160346031189, -0.25655436515808105, -0.23261040449142456, -0.9341620802879333, 0.13532418012619019, -0.06365566700696945, 0.08392837643623352, 0.8178583979606628, 0.5771794319152832, 0.2236187905073166, 0.4243479371070862, -0.3686064481735...
record8329306_pdf1_slide20
8329306
Thinking_Data_Management_On_Different_Scales.pdf
20
[ 0.2891567647457123, -0.7873530387878418, -0.08769234269857407, 0.04071921110153198, 0.005165483802556992, -0.17727550864219666, -0.2754431962966919, -0.10323962569236755, -0.2534511685371399, 0.5756092667579651, -0.25065451860427856, -0.7882378101348877, 0.661494791507721, 0.00601593358442...
[ 0.033964816480875015, 0.42234644293785095, -0.21844199299812317, 0.3602309823036194, -0.1093805655837059, 0.07102885842323303, -0.19572782516479492, -0.196168452501297, 0.8798165321350098, -0.03304798901081085, -0.4119991064071655, -0.15367308259010315, -0.07939839363098145, -0.15456162393...
[ 0.41346248984336853, -0.7635608315467834, -0.10205277055501938, 0.06473837792873383, -0.04039391502737999, 0.1681601107120514, -0.47444525361061096, -0.5931298136711121, 0.33916425704956055, 0.5715182423591614, -0.13222438097000122, -0.8469942212104797, 0.5608999729156494, 0.06742197275161...
RDM4mic “Research Data Management for Microscopy” • Open for all • >20 facilities involved • Exchange of experience and knowledge transfer in terms of data management 2017 2019 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide21
8329306
Thinking_Data_Management_On_Different_Scales.pdf
21
[ 0.06708649545907974, -0.9234415292739868, 0.12104702740907669, -0.5715028047561646, -0.05952855944633484, -0.2511868178844452, -0.010063162073493004, -0.13177677989006042, 0.19732603430747986, 0.47518783807754517, -0.22386570274829865, -0.7294029593467712, 0.8159324526786804, -0.2131997197...
[ 0.09546076506376266, 0.007087969221174717, -0.24691064655780792, 0.2583513557910919, -0.18003925681114197, -0.22578021883964539, 0.031770285218954086, -0.2609327435493469, 0.9561423063278198, 0.21619614958763123, -0.4777275323867798, -0.2790611982345581, -0.17731037735939026, -0.1090772897...
[ 0.28497326374053955, -0.4340527057647705, 0.0612252801656723, -0.3212289810180664, 0.1957712173461914, 0.006017409265041351, -0.1668945699930191, -0.7120778560638428, 0.9920395016670227, 0.45664650201797485, -0.4853983521461487, -0.5536415576934814, 0.5430821776390076, 0.0636708214879036, ...
2022-2024 I3D:bio Information Infrastructure for BioImage Data Man power to implement the needs of tools, support and training with focus on OMERO and light microscopy 2017 2019 2021 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide22
8329306
Thinking_Data_Management_On_Different_Scales.pdf
22
[ 0.40392711758613586, -0.47162365913391113, 0.09398937225341797, 0.031246298924088478, -0.2447122037410736, -0.12683409452438354, -0.2639094591140747, -0.7860607504844666, -0.056488342583179474, 0.8367721438407898, -0.29792460799217224, -0.1530659943819046, 0.5299319624900818, -0.2636052668...
[ -0.13905605673789978, 0.031741466373205185, -0.03482535853981972, -0.03439335152506828, -0.1361265331506729, 0.21016542613506317, 0.15798531472682953, 0.07535760849714279, 0.22191861271858215, 0.16001296043395996, 0.2809933125972748, 0.160703644156456, -0.14180654287338257, -0.000814478844...
[ -0.07695064693689346, -0.5295928120613098, -0.13341481983661652, -0.006476255599409342, -0.34354734420776367, -0.11376236379146576, -0.2322460561990738, -0.714370608329773, 0.6109556555747986, 0.7425317764282227, -0.2668183147907257, 0.4369032084941864, 0.17678575217723846, 0.0120067242532...
INDIVIDUAL PROJECT/GROUP INSTITUTIONAL NATIONAL Change management and continious improvements RDM4mic 04 03 02 01 INITIAL BASIC DEVELOPMENT MANAGED Disorganised, ad hoc Deploybasicstructuresandtools Deploystandards Deployvalidationand Status: verificationprocesses, intra domaincrosswalks Different data structures, Reorganisation, definition of Processes are standardisedand Validation andverification subjective documentation; responsibilities, transfer of integrated;Trainingon standards; processes; metadatadescribed unnecessary data duplication, knowledge; definition, rich metadata withconsistentvocabulary transfer, conversion; no central establishment, development and Management: data storage and access documentation of management interface; no objective/strategy and exchange processes; application of metadata to key data sets. local workinggroup localinfrastructure National anddomainspecific Data silolevel: infrastructure Data valuelevel: singleuse singleuse Resourcetovalidatedecisions Resourcetomakedecisions low low middle high Interoperability: „If I want to share data, I „Myproject/grouphasagreeto „ I should manage data and „ I have learnt how to apply coordinate it directly with my usea specificplatformfordata strive to use appropriate data management policies and colleague” management“ standards and tools.” sharing has become much easier.” PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide23
8329306
Thinking_Data_Management_On_Different_Scales.pdf
23
[ -0.11064877361059189, -0.08736605197191238, 0.5735294818878174, 0.08148233592510223, -0.7492255568504333, 0.04582849144935608, 0.19668948650360107, -0.6356260776519775, 0.3020455539226532, 0.6060332655906677, -0.22464489936828613, -0.1652291864156723, 0.3271501064300537, 0.0832999870181083...
[ -0.06573998928070068, 0.10826613008975983, -0.15590472519397736, -0.11412357538938522, 0.09210348129272461, -0.24686141312122345, -0.22232502698898315, -0.06492411345243454, 0.7666341066360474, -0.24236084520816803, -0.18438820540905, -0.0679776668548584, -0.32147902250289917, -0.138851553...
[ -0.012517797760665417, -0.13267084956169128, 0.5871163010597229, -0.07967480272054672, -0.2626761794090271, 0.3214687705039978, 0.3966793119907379, -0.696393609046936, 0.928033173084259, 0.9346344470977783, -0.21438349783420563, 0.09974337369203568, 0.2882450222969055, 0.006123075727373362...
Research Data Management Value of data „The skyisthelimit“– Asset toanswerfuture implicitknowledgeleads questions discoveryefforts Integral todesision Useexplicit knowledge making(must have) fromdata Resourcetomake Metaanalysisusing decisions(goodtohave) aggregateddata Resourcetovalidate Defenddecisions decisions byreanalysingdata *Semantic: the description of the meanings of values and of the Single use Verifynull names of data components hypothesis Degree of interoperability Minimal Rich + Consistent + Semantics* + FullSemantic metadata metadata vocabulary interoperability „On theroadtoFAIR …lessonslearnt.“, SarithaV Kuriakose PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide24
8329306
Thinking_Data_Management_On_Different_Scales.pdf
24
[ 0.008756028488278389, -1.0167837142944336, 0.1645967662334442, -0.43594127893447876, 0.15596753358840942, 0.1463398039340973, -0.2561413049697876, 0.19021473824977875, -0.33246910572052, 0.7519654035568237, -0.367448091506958, -0.6331118941307068, 0.9417545795440674, 0.1800486147403717, ...
[ -0.22899578511714935, -0.12909606099128723, -0.28894221782684326, 0.2715723216533661, 0.06538280099630356, 0.21009622514247894, -0.1025567501783371, 0.10406915098428726, 0.8446622490882874, 0.11984317749738693, -0.07012514770030975, 0.008221120573580265, -0.25859561562538147, 0.08769289404...
[ 0.011042043566703796, -0.31912723183631897, 0.08874169737100601, 0.07510199397802353, -0.012537520378828049, -0.3090132772922516, -0.10976964980363846, -0.5002193450927734, -0.14420613646507263, 0.47290271520614624, -0.32051169872283936, -0.7189780473709106, 0.9331088066101074, 0.372252404...
2023-2028 NFDI4BIOIMAGE 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 National Researchdata Infrastructure for BioImaging: Implement national infrastructure and standards Stefanie Weidtkamp-Peters. (2023, June 22). NFDI4BIOIMAGE -National Research Data Infrastructure for MicroscopyandBioImageAnalysis -Online Kick-Off 2023. Zenodo. https://doi.org/10.5281/zenodo.8070038 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide25
8329306
Thinking_Data_Management_On_Different_Scales.pdf
25
[ 0.1643836945295334, -0.6508461833000183, 0.5746866464614868, -0.6013056039810181, -0.11051169782876968, -0.5525240302085876, -0.48217904567718506, 0.5032737851142883, -0.7044342160224915, 0.471280038356781, 0.19314011931419373, -0.5704552531242371, 1.2142634391784668, -0.14887429773807526,...
[ -0.025836586952209473, -0.08822774887084961, -0.4196431338787079, 0.22464683651924133, 0.4311668276786804, -0.3498461842536926, 0.036498621106147766, 0.1820470690727234, 0.1526155024766922, 0.13284824788570404, -0.08709903061389923, -0.1428271383047104, -0.1566411554813385, -0.212271362543...
[ -0.008916325867176056, -0.5622448921203613, 0.03828548267483711, -0.048815105110406876, -0.34076300263404846, 0.016931287944316864, -0.3984869122505188, -0.45913463830947876, 0.16898469626903534, 0.38423022627830505, -0.13545264303684235, -0.697207510471344, 0.6748355031013489, 0.533360898...
2023-2028 NFDI4BIOIMAGE 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "No slide image was provided.", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.12132338434457779, -0.24662642180919647, 0.027810383588075638, -0.20069503784179688, -0.12011156231164932, -0.8343220353126526, 0.15821364521980286, -0.04762403666973114, 0.2026352435350418, 0.7353361248970032, 0.5224205851554871, 0.021793795749545097, 0.3290523588657379, -0.157067090272...
record8329306_pdf1_slide26
8329306
Thinking_Data_Management_On_Different_Scales.pdf
26
[ 0.237259641289711, -0.9780243635177612, 0.3115064799785614, -0.3210314214229584, -0.1305057257413864, -0.32236161828041077, -0.28376471996307373, -0.019747668877243996, -0.3598681092262268, 0.6422139406204224, -0.3653125762939453, -0.4112660586833954, 1.2525428533554077, 0.2081341892480850...
[ 0.19894389808177948, 0.017537876963615417, -0.30654191970825195, 0.3902307152748108, 0.15347135066986084, -0.24939794838428497, -0.026829805225133896, 0.15346504747867584, 0.6400074362754822, 0.07537651807069778, -0.03799356892704964, 0.17346487939357758, 0.03333314135670662, -0.2177843451...
[ -0.07185760140419006, -0.02351585403084755, 0.2645297944545746, -0.053062256425619125, 0.1629520058631897, -0.6178262233734131, -0.29399678111076355, -0.46089625358581543, -0.014906483702361584, 0.7686612606048584, -0.24629323184490204, -0.6673823595046997, 1.075768232345581, 0.25389760732...
2023-2028 NFDI4BIOIMAGE 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 NFDI4BIOIMAGE Consortium. (2021). Section 5.1 "Task Area 1: Image (meta)data formats and standardization)" Figure 8 (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7394675 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide27
8329306
Thinking_Data_Management_On_Different_Scales.pdf
27
[ -0.1431889533996582, -0.6922593712806702, 0.0006063339533284307, -0.47804516553878784, -0.0389004722237587, 0.033909548074007034, -0.26692232489585876, 0.46963295340538025, -0.20568321645259857, 0.5116943120956421, -0.3207399547100067, -0.4685591459274292, 1.048292636871338, -0.06761848926...
[ -0.05609816312789917, 0.16054268181324005, -0.5129020810127258, 0.8865998387336731, -0.39573580026626587, -0.1088239774107933, 0.044380247592926025, -0.1660003364086151, 0.7674877047538757, 0.11043709516525269, 0.03391392156481743, 0.02340918593108654, -0.28183332085609436, 0.2128281891345...
[ -0.019529694691300392, -0.43081459403038025, 0.32233092188835144, -0.07912593334913254, -0.018053550273180008, 0.37505781650543213, -0.2560228705406189, -0.2385861575603485, -0.2919831871986389, 0.16073107719421387, -0.14675666391849518, -0.9349834322929382, 0.7375198602676392, 0.463732868...
2023-2028 NFDI4BIOIMAGE The success of NFDI highly depends on an institutional commitment. 3 1 1 1 2 1 1 2 2 1 4 1 2 2 11 2 1 2 1 1 4 2 3 3 1 National Researchdata Infrastructure for BioImaging: Implement national infrastructure and standards 2017 2019 2021 2023 PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide28
8329306
Thinking_Data_Management_On_Different_Scales.pdf
28
[ 0.31505870819091797, -0.19265225529670715, -0.15424251556396484, 0.15905418992042542, -0.22940360009670258, 0.5269510746002197, -0.05925709381699562, -0.633160412311554, 0.2537378668785095, 0.9723536968231201, -0.2770214378833771, -0.14927275478839874, 0.28988778591156006, 0.08797023445367...
[ -0.034915708005428314, -0.03928763419389725, -0.044749774038791656, 0.02561512589454651, -0.2284967303276062, 0.16638219356536865, 0.22888559103012085, 0.08437028527259827, 0.2585775554180145, 0.17833872139453888, 0.33694666624069214, 0.09821105003356934, -0.1855877786874771, 0.03286081179...
[ -0.016264403238892555, -0.5382554531097412, -0.14328476786613464, -0.29355624318122864, -0.30133605003356934, -0.37749743461608887, -0.20176120102405548, -0.4977026581764221, 0.49007800221443176, 0.7663023471832275, -0.21539974212646484, 0.7812182903289795, 0.09974473714828491, -0.37988245...
INDIVIDUAL PROJECT/GROUP INSTITUTIONAL NATIONAL INTERNATIONAL Change management and continious improvements RDM4mic 05 04 03 02 01 INITIAL BASIC DEVELOPMENT MANAGED OPTIMIZED Disorganised, ad hoc Deploybasicstructuresandtools Deploystandards Deployvalidationand Deployinterdomaincrosswalks Status: verificationprocesses, intra domaincrosswalks Different data structures, Reorganisation, definition of Processes are standardisedand Validation andverification Data arerichon context(full subjective documentation; responsibilities, transfer of integrated;Trainingon standards; processes; metadatadescribed semantic); unnecessary data duplication, knowledge; definition, rich metadata withconsistentvocabulary StandardisedAPI; harmonized transfer, conversion; no central establishment, development and andinteroperable data; Management: data storage and access documentation of management coherencein formatandcontext interface; no objective/strategy and exchange processes; application of metadata to key data sets. local workinggroup localinfrastructure National anddomainspecific Data silolevel: infrastructure Data valuelevel: singleuse singleuse Resourcetovalidatedecisions Resourcetomakedecisions Asset toanswerfuturequestions low low middle high high Interoperability: „If I want to share data, I „Myproject/grouphasagreeto „ I should manage data and „ I have learnt how to apply „ I find that I can easily coordinate it directly with my usea specificplatformfordata strive to use appropriate data management policies and discover, access, combine colleague” management“ standards and tools.” sharing has become much and publish data". easier.” adaptedfromMedyckyj-Scott, David et al. (2016). OurLand andWaterNational Science Challenge -A Data PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck EcosystemforLand andWaterData toAchievetheChallenge Mission.
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide29
8329306
Thinking_Data_Management_On_Different_Scales.pdf
29
[ 0.042114321142435074, -0.5593619346618652, 0.19467616081237793, -0.10903918743133545, 0.13549014925956726, -0.3356860280036926, -0.13806241750717163, -0.220553457736969, -0.5459162592887878, 0.5109553337097168, -0.3916074335575104, -0.7737796306610107, 1.2349088191986084, -0.30291277170181...
[ 0.2692216634750366, -0.43472957611083984, -0.19867993891239166, -0.02796245738863945, 0.15882357954978943, -0.182532399892807, 0.3455689251422882, 0.10463248193264008, 0.23008978366851807, 0.30151307582855225, -0.4903225600719452, -0.20561808347702026, 0.11396745592355728, 0.22613415122032...
[ 0.03869647532701492, -0.821487545967102, 0.5840151309967041, -0.3850620687007904, -0.1749228537082672, -0.2252572774887085, 0.1393253207206726, -0.0781836062669754, -0.008581369183957577, 0.21359236538410187, 0.03287852555513382, -0.3016413152217865, 0.5472453236579895, -0.1030121892690658...
https://german-bioimaging.github.io/RDM4mic.github.io/ https://gerbi-gmb.de/i3dbio/i3dbio-about/ https://nfdi4bioimage.de/en/start/ RDM4mic I3D:bio NFDI4BIOIMAGE PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...
record8329306_pdf1_slide30
8329306
Thinking_Data_Management_On_Different_Scales.pdf
30
[ 0.16120745241641998, -0.41910839080810547, 0.33455055952072144, -0.5228970646858215, 0.12662053108215332, -0.13113990426063538, -0.296927273273468, -0.3779938817024231, 0.004930696915835142, 0.3530329763889313, -0.6313515305519104, -0.5291776657104492, 0.8674609661102295, 0.010607570409774...
[ -0.14723511040210724, 0.330288290977478, -0.06974463164806366, 0.20174436271190643, -0.1979115903377533, -0.06369104236364365, -0.1400829553604126, 0.19629113376140594, 0.860243558883667, 0.13033726811408997, -0.47231122851371765, -0.1247757226228714, -0.27457043528556824, 0.16494780778884...
[ 0.23028436303138733, -0.5927019715309143, 0.7643706202507019, 0.09732706099748611, 0.17487311363220215, 0.3318678140640259, -0.06456968188285828, -0.48620089888572693, -0.1821739226579666, -0.007320425473153591, -0.08354786783456802, -1.0706087350845337, 0.4628712236881256, 0.3797877430915...
Acknowledgements  Karen Bernhardt (IT UOS, I3D:bio)  Tom Boissonnet (I3D:bio)  Roland Brandt (I3D:bio, QUAREP-LIMI)  Jean-Marie Burel (OME)  Julia Dohle (UOS, I3D:bio)  Elisa Ferrando-May (I3D:bio, NFDI4BIOIMAGE)  Jan Gelwer (IT UOS)  Michael Hensel (CRC 944 UOS)  Rainer Kurre (iBiOs UOS)  Victoria Liss (CRC 1557 UOS)  Josh Moore (OME, RDM4mic, NFDI4BIOIMAGE)  Andreas Müller (IT UOS)  Stefanie Weidtkamp-Peters (GerBi, RDM4mic, I3D:bio, NFDI4BIOIMAGE)  Tobias Wernet (I3D:bio)  Thomas Zobel (RDM4mic, GerBi) PoL Bio-Image Analysis Symposium Susanne Kunis | University Osnabrueck
{ "Content": "", "Style": "None", "Language": "None", "Knowledge Level": "None", "Learning Perspective": "None" }
[ 0.10672242939472198, -0.03829474002122879, -0.2715698182582855, -0.525645911693573, -0.17832888662815094, -0.7929505109786987, 0.20374931395053864, -0.07906347513198853, -0.030158458277583122, 0.7745014429092407, 0.36161455512046814, 0.19957606494426727, 0.6133071184158325, -0.305566728115...