Best use case
datacite-api is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Resolve dataset DOIs and query research data metadata via DataCite
Teams using datacite-api should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/datacite-api/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How datacite-api Compares
| Feature / Agent | datacite-api | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Resolve dataset DOIs and query research data metadata via DataCite
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# DataCite API Guide
## Overview
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.
## Authentication
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.
## Core Endpoints
### DOIs: Search and Retrieve Dataset Metadata
- **URL**: `GET https://api.datacite.org/dois`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| query | string | No | Full-text search query |
| resource-type-id | string | No | Filter by resource type (dataset, software, text, etc.) |
| affiliation-id | string | No | Filter by creator affiliation ROR ID |
| registered | string | No | Filter by registration year (e.g., 2024) |
| page[size] | integer | No | Results per page (default: 25, max: 1000) |
| page[number] | integer | No | Page number for pagination |
| sort | string | No | Sort field: relevance, created, -created, updated |
- **Example**:
```bash
curl "https://api.datacite.org/dois?query=climate+change+dataset&resource-type-id=dataset&page[size]=10&sort=-created"
```
- **Response**: JSON:API formatted response with `data` array containing DOI records. Each record has `attributes` with `doi`, `titles`, `creators`, `publisher`, `publicationYear`, `resourceType`, `descriptions`, `subjects`, `dates`, `relatedIdentifiers`, `fundingReferences`, and `geoLocations`.
### Single DOI: Direct Lookup
- **URL**: `GET https://api.datacite.org/dois/{doi}`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| doi | string | Yes | The full DOI (e.g., 10.5281/zenodo.1234567) |
- **Example**:
```bash
curl "https://api.datacite.org/dois/10.5281/zenodo.3678171"
```
- **Response**: JSON:API response with complete metadata for the specified DOI, including all DataCite Metadata Schema fields.
### Providers: Data Repository Information
- **URL**: `GET https://api.datacite.org/providers`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| query | string | No | Search provider name or description |
| region | string | No | Filter by region (e.g., EMEA, Americas, Asia Pacific) |
| page[size] | integer | No | Results per page |
- **Example**:
```bash
curl "https://api.datacite.org/providers?query=CERN&page[size]=5"
```
- **Response**: JSON:API response with provider records including `name`, `displayName`, `region`, `memberType`, `website`, and associated repositories and DOI prefixes.
### Clients: Repository Details
- **URL**: `GET https://api.datacite.org/clients`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| query | string | No | Search repository name |
| provider-id | string | No | Filter by provider |
| software | string | No | Filter by repository software (e.g., dspace, dataverse) |
| page[size] | integer | No | Results per page |
- **Example**:
```bash
curl "https://api.datacite.org/clients?query=zenodo&page[size]=5"
```
- **Response**: JSON:API response with repository records including name, DOI count, and service details.
## Rate Limits
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.
## Common Patterns
### Discover Datasets for a Research Topic
Find published datasets related to a research area:
```bash
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}'
```
### Find Software Citations
Search for research software registered with DataCite:
```bash
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}'
```
### Link Datasets to Publications
Use related identifiers to find papers associated with a dataset:
```bash
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}'
```
## References
- Official documentation: https://support.datacite.org/docs/api
- DataCite Metadata Schema: https://schema.datacite.org/
- JSON:API specification: https://jsonapi.org/Related Skills
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