From Science Europe Data Glossary
Definition: FAIR data refers to research data, which complies with four basic principles of being Findable, Accessible, Interoperable and Re-usable.
Explanation: 1. Findable – Easy to find by both humans and computer systems and based on mandatory description of the metadata that allow the discovery of interesting data sets; 2. Accessible – Stored for long term such that they can be easily accessed and/or downloaded with well-defined license and access conditions (Open Access when possible), whether at the level of metadata, or at the level of the actual data content; 3. Interoperable – Ready to be combined with other data sets by humans as well as computer systems; 4. Re-Usable – Ready to be used for future research and to be processed further using computational methods.
The FAIR principles are equivalent to the principles of the Data Seal of Approval.
References: http://www.dtls.nl/about/programmes/dtl-data/fair-data/; https://www.force11.org/group/fairgroup/fairprinciples; http://www.datasealofapproval.org