FAIR is an acronym for Findable, Accessible, Interoperable and Reusable, and is used to assess the continued usability of data.

What is a “FAIR dataset"?

• A dataset that has been meaningfully described with standardized metadata so that it can be found using suitable keywords and referenced via a persistent identifier, or PID (findable).
• This dataset should also be stored on a platform that other people have access to and the data should be transferable by following a standardized protocol (accessible).
• Data and metadata within this dataset should be provided in a format that guarantees usability by other people using other tools without loss of information (interoperable).
• Finally, the dataset should be described in such a way that a knowledgeable person can understand the content, the relevant links to other disciplines and the history of the individual pieces of data (reusable).

The “FAIRness” of a dataset does not necessarily have to target the entire expert community. A dataset can also be considered FAIR if it is only intended for a single research group.

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