Datasets:
Add dataset card with documentation and multi-config definition
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README.md
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---
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license: cc0-1.0
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language:
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- en
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tags:
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- metadata
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- scholarly-communication
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- datacite
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- doi
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- enrichment
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- comet
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pretty_name: COMET DataCite Enrichment Layer (Ingest Format)
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size_categories:
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- 10M<n<100M
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configs:
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- config_name: author_affiliations
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data_files:
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- split: train
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path: author_affiliations_enrichments_datacite_format.jsonl
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default: true
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- config_name: preprint_matching
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data_files:
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- split: train
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path: preprint_matching_enrichments_datacite_format.jsonl
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- config_name: resource_type
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data_files:
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- split: train
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path: resource_type_enrichments_datacite_format.jsonl
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---
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# COMET DataCite Enrichment Layer (Ingest Format)
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This dataset contains metadata enrichment records in [DataCite](https://datacite.org/) ingest format, produced by the [COMET](https://cometadata.org/) (Collaborative Metadata) initiative. Each record represents a single metadata enrichment to be applied to an existing DataCite record, identified by DOI.
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The enrichments were generated against the **February 2026** DataCite data files using the [datacite-enrichment](https://github.com/adambuttrick/datacite-enrichment) tool.
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## Dataset Configs
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This dataset contains three configs (subsets), one for each enrichment type:
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| Config | Records | Size | Description |
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|--------|---------|------|-------------|
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| `author_affiliations` | 8,963,119 | 8.8 GB | Institutional affiliation enrichments for creator records |
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| `preprint_matching` | 812,958 | 526 MB | Links between arXiv preprints and their published versions |
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| `resource_type` | 3,338,250 | 2.1 GB | Reclassifications of generic resource types to specific types |
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### Loading a specific config
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```python
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from datasets import load_dataset
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# Load author affiliations enrichments
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ds = load_dataset("cometadata/comet-datacite-enrichment-layer-ingest-format", "author_affiliations")
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# Load preprint matching enrichments
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ds = load_dataset("cometadata/comet-datacite-enrichment-layer-ingest-format", "preprint_matching")
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# Load resource type enrichments
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ds = load_dataset("cometadata/comet-datacite-enrichment-layer-ingest-format", "resource_type")
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```
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## Record Schema
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Each record is a JSON object with the following fields:
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| Field | Type | Description |
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|-------|------|-------------|
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| `doi` | string | The DOI of the DataCite record to be enriched |
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| `contributors` | array | Provenance: who produced this enrichment (COMET as Producer) |
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| `resources` | array | Provenance: related project DOI and source dataset reference |
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| `action` | string | The enrichment action: `insert`, `updateChild`, or `update` |
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| `field` | string | The DataCite metadata field being enriched |
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| `originalValue` | object | The original value being modified (present for `updateChild` and `update` actions) |
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| `enrichedValue` | object | The new or updated value to apply |
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## Config Details
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### author_affiliations
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Adds institutional affiliations to creator records on arXiv preprints registered in DataCite.
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- **Action**: `updateChild` — finds and updates a specific creator within the `creators` array
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- **Field**: `creators`
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- **Source data**: [cometadata/arxiv-author-affiliations-matched-ror-ids](https://huggingface.co/datasets/cometadata/arxiv-author-affiliations-matched-ror-ids)
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- **Project DOI**: [10.82461/160e-8q92](https://doi.org/10.82461/160e-8q92)
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Example record:
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```json
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{
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"doi": "10.48550/arxiv.1109.3791",
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"contributors": [
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{"name": "COMET", "contributorType": "Producer", "nameType": "Organizational"}
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],
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"resources": [
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{"relatedIdentifier": "http://doi.org/10.82461/160e-8q92", "relatedIdentifierType": "DOI", "relationType": "IsDocumentedBy", "resourceTypeGeneral": "Project"},
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{"relatedIdentifier": "https://huggingface.co/datasets/cometadata/arxiv-author-affiliations-matched-ror-ids", "relatedIdentifierType": "URL", "relationType": "IsDerivedFrom", "resourceTypeGeneral": "Dataset"}
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],
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"action": "updateChild",
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"field": "creators",
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"originalValue": {
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"nameType": "Personal",
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"givenName": "Fangfei",
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"familyName": "Zhou",
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"name": "Zhou, Fangfei"
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},
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"enrichedValue": {
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"nameType": "Personal",
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"givenName": "Fangfei",
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"familyName": "Zhou",
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"name": "Zhou, Fangfei",
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"affiliation": [
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{"name": "Northeastern University"}
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]
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}
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}
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```
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### preprint_matching
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Links arXiv preprints to their published versions by inserting `relatedIdentifiers` entries with the `IsVersionOf` relation type.
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- **Action**: `insert` — appends a new entry to the `relatedIdentifiers` array
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- **Field**: `relatedIdentifiers`
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- **Source data**: [cometadata/arxiv-preprint-matching-results](https://huggingface.co/datasets/cometadata/arxiv-preprint-matching-results)
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- **Project DOI**: [10.82461/m8a8-m211](https://doi.org/10.82461/m8a8-m211)
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Example record:
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```json
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{
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"doi": "10.48550/arxiv.2302.11570",
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"contributors": [
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{"name": "COMET", "contributorType": "Producer", "nameType": "Organizational"}
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],
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"resources": [
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{"relatedIdentifier": "10.82461/m8a8-m211", "relatedIdentifierType": "DOI", "relationType": "IsDocumentedBy", "resourceTypeGeneral": "Project"},
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{"relatedIdentifier": "https://huggingface.co/datasets/cometadata/arxiv-preprint-matching-results", "relatedIdentifierType": "DOI", "relationType": "IsDerivedFrom", "resourceTypeGeneral": "Dataset"}
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],
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"action": "insert",
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"field": "relatedIdentifiers",
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"enrichedValue": {
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"relatedIdentifier": "10.58530/2024/0038",
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"relatedIdentifierType": "DOI",
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"relationType": "IsVersionOf"
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}
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}
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```
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### resource_type
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Reclassifies DataCite records that have a generic `resourceTypeGeneral` of "Text" to more specific types such as `JournalArticle`, `Preprint`, etc., based on procedural analysis.
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- **Action**: `update` — replaces the entire `types` field
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- **Field**: `types`
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- **Source data**: [cometadata/datacite-procedural-resource-type-general-reclassifications](https://huggingface.co/datasets/cometadata/datacite-procedural-resource-type-general-reclassifications)
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- **Project DOI**: [10.82461/bpzr-jd55](https://doi.org/10.82461/bpzr-jd55)
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Example record:
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```json
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{
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"doi": "10.5281/zenodo.15414",
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"contributors": [
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{"name": "COMET", "contributorType": "Producer", "nameType": "Organizational"}
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],
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"resources": [
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{"relatedIdentifier": "10.82461/bpzr-jd55", "relatedIdentifierType": "DOI", "relationType": "IsDocumentedBy", "resourceTypeGeneral": "Project"},
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{"relatedIdentifier": "https://huggingface.co/datasets/cometadata/datacite-procedural-resource-type-general-reclassifications", "relatedIdentifierType": "URL", "relationType": "IsDerivedFrom", "resourceTypeGeneral": "Dataset"}
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],
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"action": "update",
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"field": "types",
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"originalValue": {"resourceTypeGeneral": "Text"},
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"enrichedValue": {"resourceTypeGeneral": "JournalArticle"}
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}
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```
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## How These Files Were Generated
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These enrichment records were produced using the [datacite-enrichment](https://github.com/adambuttrick/datacite-enrichment) tool, which:
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1. Takes source enrichment data (from the datasets linked above) and a YAML configuration file defining field mappings, filters, and provenance metadata
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2. Converts it to a standardized enrichment format using domain-specific transformers (one per enrichment type)
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3. Produces records that carry full provenance tracking: contributor info (COMET as Producer), references to the source dataset and project DOI, and original/enriched values
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The conversion was run against the **February 2026** DataCite PID Graph data files. Each record in this dataset is ready to be applied to its corresponding DataCite record via the tool's merge functionality, or ingested directly by DataCite.
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### Generation commands
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```bash
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# Preprint matching
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datacite-enrich convert preprint_matches.json configs/preprint_matching.yaml \
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-r datacite_records.jsonl.gz -o preprint_matching_enrichments_datacite_format.jsonl
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# Author affiliations
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datacite-enrich convert author_affiliations.jsonl configs/author_affiliations.yaml \
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-r datacite_records.jsonl.gz -o author_affiliations_enrichments_datacite_format.jsonl
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# Resource type
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datacite-enrich convert resource_type_reclassifications.json configs/resource_type.yaml \
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-r datacite_records.jsonl.gz -o resource_type_enrichments_datacite_format.jsonl
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```
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## License
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This dataset is released under [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/).
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