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FAIR refers to the four fundamental pillars: 1) findability; 2) accessibility; 3) interoperability; and 4) reusability. The aim is to improve data management and stewardship by empowering computers to find, access, interoperate, and reuse data. FAIR data principles, in brief, are: 1) findable, discoverable with metadata, locatable, and identifiable through a standard identification mechanism; 2) accessible, obtainable, and available all the time; even if the data are restricted, the metadata is open; 3) interoperable, both syntactically explainable and semantically understandable, enabling data exchange and allowing data reuse among researchers, institutions, organizations, and countries; and 4) reusable, adequately described, and shared with the permitted licenses, supported by provenance empowering the broadest reuse possible and minimal tedious integration with other data sources.