skills/43-wentorai-research-plugins/skills/literature/metadata/datacite-api/SKILL.md
Resolve dataset DOIs and query research data metadata via DataCite
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research datacite-apiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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DataCite is a leading global DOI registration agency focused on research data. While CrossRef primarily handles DOIs for publications, DataCite specializes in assigning persistent identifiers to datasets, software, samples, instruments, and other research outputs. DataCite has registered over 50 million DOIs from thousands of data repositories worldwide.
The DataCite REST API provides access to metadata for all DataCite DOIs. It is essential for researchers and developers working with research data discovery, data citation, FAIR (Findable, Accessible, Interoperable, Reusable) data practices, and repository integration. The metadata follows the DataCite Metadata Schema, which is designed specifically for describing research data and includes fields for resource types, funding references, geolocation, and related identifiers.
The API is free, open, and requires no authentication. It returns JSON responses following the JSON:API specification, with robust filtering, faceting, and pagination support.
No authentication required. The DataCite API is fully open and free to use. No API key, registration, or email is needed. For write operations (DOI registration and metadata updates), authentication via DataCite member credentials is required, but read-only access is completely open.
GET https://api.datacite.org/doiscurl "https://api.datacite.org/dois?query=climate+change+dataset&resource-type-id=dataset&page[size]=10&sort=-created"
data array containing DOI records. Each record has attributes with doi, titles, creators, publisher, publicationYear, resourceType, descriptions, subjects, dates, relatedIdentifiers, fundingReferences, and geoLocations.GET https://api.datacite.org/dois/{doi}curl "https://api.datacite.org/dois/10.5281/zenodo.3678171"
GET https://api.datacite.org/providerscurl "https://api.datacite.org/providers?query=CERN&page[size]=5"
name, displayName, region, memberType, website, and associated repositories and DOI prefixes.GET https://api.datacite.org/clientscurl "https://api.datacite.org/clients?query=zenodo&page[size]=5"
No published rate limits. DataCite does not enforce strict API quotas for read access. However, the service is operated by a nonprofit organization, so users should implement reasonable request pacing. For large-scale data mining, use the DataCite OAI-PMH endpoint or the public data file available at https://datafiles.datacite.org. Sustained high-volume requests may be throttled without notice.
Find published datasets related to a research area:
curl -s "https://api.datacite.org/dois?query=CRISPR+genome+editing&resource-type-id=dataset&page[size]=5&sort=-created" | jq '.data[] | {doi: .attributes.doi, title: .attributes.titles[0].title, year: .attributes.publicationYear, publisher: .attributes.publisher}'
Search for research software registered with DataCite:
curl -s "https://api.datacite.org/dois?query=python+machine+learning&resource-type-id=software&page[size]=10" | jq '.data[] | {doi: .attributes.doi, title: .attributes.titles[0].title, year: .attributes.publicationYear}'
Use related identifiers to find papers associated with a dataset:
curl -s "https://api.datacite.org/dois/10.5281/zenodo.3678171" | jq '.data.attributes.relatedIdentifiers[] | select(.relationType == "IsSupplementTo" or .relationType == "IsReferencedBy") | {type: .relationType, id: .relatedIdentifier}'
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