Datacite ApiSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: datacite-api
description: "Resolve dataset DOIs and query research data metadata via DataCite"
metadata:
openclaw:
emoji: "🔍"
category: "literature"
subcategory: "metadata"
keywords: ["DOI resolution", "digital object identifier", "FAIR data principles", "data sharing"]
source: "https://support.datacite.org/docs/api"
---
# 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.attribTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__datacite-api.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Datacite Api skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Datacite Api safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Datacite Api access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Datacite Api work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.