score your data FAIR.

Paste a dataset's metadata. FAIRCheck scores it against the 15 FAIR sub-principles (Findable, Accessible, Interoperable, Reusable; Wilkinson 2016) with concrete, deterministic checks — persistent identifier, open license, machine-readable formats, community vocabularies, provenance — and returns per-principle subscores, an overall 0–100 FAIR score, and a prioritized fix list. An all-field tool: FAIR data management is funder-mandated across NIH, NSF, Horizon Europe, Wellcome, and Gates.