DataCite
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A readout of FAIR metadata quality for research repositories

Point it at a repository and read how FAIR its metadata is: the 14 sub-principle score, then the field-level completeness behind it. Everything runs in your browser against live data; nothing is uploaded. The rubric is fully open.

Years
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Record years filters by record datestamp (added / updated in the repo), not publication year
CORS proxy (advanced)

OAI-PMH endpoints rarely send CORS headers, so requests route through a thin relay, with no scoring logic, see cors-proxy/. Required for OAI-PMH: deploy your own and paste it here, so this tool depends on nobody else's infrastructure.

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Repository A
Repository B

e.g. Dryad vs Harvard Dataverse, or PANGAEA vs Zenodo. Both sides can be DataCite or OAI-PMH; the concept diff shows when both are the same kind.

In one line: it reads a repository's public metadata and grades each record against the FAIR principles: Findable, Accessible, Interoperable, Reusable. The four steps below are the whole story; the sections after them offer as much depth as you want.

  1. Point it at a repositoryA DataCite client ID, DOI prefix or publisher: or any OAI-PMH base URL.
  2. It fetches live recordsYour browser downloads a sample of metadata records straight from the source. Nothing is uploaded anywhere.
  3. Every record faces 14 checksEach FAIR sub-principle becomes a concrete test (is there a persistent identifier? a machine-readable license?), scored Full, Partial or Not met.
  4. You read the profile: and the fixesScores, charts and a prioritized to-do list of what to re-curate. Every view explains itself as you hover and click.

Want more depth? Each section below goes one level further.

The 14 checks, one by one

How the score is computed

Where the data comes from

Open by design