About
What FAIR assessment is
FAIR stands for Findable, Accessible, Interoperable and Reusable. These principles describe how to manage research data and other digital objects so that people and machines can find and reuse them.
A FAIR assessment checks an object against those principles. Some tools run the checks automatically. Others guide a person through a questionnaire or describe a framework.
What automated FAIR checks can and cannot tell you
- Tools implement different metric sets, and results can differ for the same resource.
- A result reflects what the tool could detect from public metadata. It does not describe the quality of the data.
- This site does not endorse or rank any tool. Entries appear in the order of the sections, not by merit.
- An automated result can be reviewed manually. Consult the documentation of each tool to learn which checks it runs.
- Reference: Candela, L., Mangione, D. and Pavone, G. (2024), "The FAIR Assessment Conundrum: Reflections on Tools and Metrics", Data Science Journal, 23, article 33. DOI: https://doi.org/10.5334/dsj-2024-033
How entries are verified
Each entry shows a status and the date it was last verified. A maintainer opens the resource by hand and records the result on that date.
The status values are:
- Available
- The resource worked when last verified.
- Limited
- The resource works only in part. The note gives the evidence.
- Discontinued
- The operator has announced that the resource is discontinued.
- Unverified
- The maintainers could not confirm that the resource works.
Entries that were not verified in the last 180 days carry a note saying so.
A link and freshness report runs every week. It lists links that do not respond as expected and entries that are due for a new check. A response from a server does not guarantee that the tool works; for that reason, a maintainer reviews each case manually.
How to suggest a tool
To propose a new entry or a correction, follow the contribution guide in the project repository.
Licenses
The source code is licensed under MIT.
The content (YAML files and texts) is licensed under CC-BY-4.0.
Product and service names belong to their owners. Listing a resource here does not imply any affiliation.
How to cite this site
Data Observatory. FAIR Resources Finder. https://fair.dataobservatory.net/. Please add the date of access.
Privacy
This site collects no data and sets no cookies. Links lead to third-party tools, which have their own privacy policies.
Origin of the design
This site follows the visual style of the Repository Crisis Scorecards project, by Data Observatory.