FAIR principles


data that are Findable, Accessible, Interoperable and Reusable (FAIR) to the greatest extent possible, enhancing their usefulness and propensity for reuse, by humans and at scale by machines. FAIR data are not necessarily Open data; data can be FAIR and shared under restrictions, for instance data that contain personal information, have not been consented for release, contain confidential commercial information, or are restricted for reasons of public interest.