FAIR enough
- Automated
- Dataset
- Any digital object
- Limited
FAIR enough runs a collection of FAIR Maturity Indicator tests, written in Python, against a resource identified by its URL. DOIs and handles are accepted by most collections.
Use case: Assessing a resource that has a URL against a chosen collection of maturity indicator tests.
Open: FAIR enough (opens in a new tab) https://fair-enough.semanticscience.org/
Status note
On 2026-10-25 the web front-end loaded and the API at api.fair-enough.semanticscience.org returned its OpenAPI definition, the list of collections and the list of stored evaluations. Two evaluation requests, for two different resources (collection fair-enough-metadata), returned 502 Bad Gateway from nginx after about 70 to 80 seconds. The most recent push to the GitHub repository is dated 2023-07-17.
Facts
- Operator
- Institute of Data Science, Maastricht University (opens in a new tab)
- Assessed objects
- Dataset, Any digital object
- Mode
- Automated
- Inputs
- DOI, Landing page URL
- Frameworks
- FAIR maturity indicators
- Output
- An evaluation with a score, a maximum score and a percentage for the chosen collection, and the result and log of each test.
- Source code
- https://github.com/MaastrichtU-IDS/fair-enough (opens in a new tab)
- License
- MIT
- Status
- Limited
- API
- Available (opens in a new tab)
- Self-hostable
- Yes
Last verified:
References
- FAIR enough source code and documentation (GitHub) (opens in a new tab) github.com
- FAIR enough API documentation (Swagger UI) (opens in a new tab) api.fair-enough.semanticscience.org