FAIR

FAIR refers to guiding principles for making data more useful and accessible. It stands for Findable, Accessible, Interoperable, and Reusable. "Findable" means data is easy to locate with clear descriptions and identifiers. "Accessible" ensures data can be retrieved under clear conditions. "Interoperable" indicates data can work with other datasets through standard formats and vocabularies. "Reusable" means data is well-documented and licensed, allowing others to use it further. Overall, FAIR principles help researchers and organizations share data efficiently, promoting better collaboration, transparency, and innovation across fields.