FAIR data are data which meet the principles of findability, accessibility, interoperability, and reusability (Wilkinson, Mark D.; Dumontier, Michel; Aalbersberg, IJsbrand Jan; Appleton, Gabrielle; et al. (15 March 2016). "The FAIR Guiding Principles for scientific data management and stewardship". Scientific Data. 3: 160018. doi:10.1038/sdata.2016.18).
A March 2016 publication by a consortium of scientists and organizations specified the "FAIR Guiding Principles for scientific data management and stewardship" in Scientific Data, using FAIR as an acronym and making the concept easier to discuss.
Commonly-use formats, schemas, and ontologies
The General Data Protection Regulation (GDPR) is a key piece of legislation which underpins FAIR Data. GDPR compliance should be built into your research planning and should be monitored, updated, and improved on a regular basis.
Find out more about GDPR on the Cranfield page here.