"The FAIR principles were designed with data-driven and machine-assisted open science in mind. The final aim of following FAIR principles is that machines as well as people can Find, Access, Interoperate and thus Reuse each other’s research objects. In the original FAIR paper by Wilkinson et al. (2016) the principles were formulated but (consciously) no details on implementation choices were included. Soon, it appeared that deviations from the intentional meaning of the authors were circulating. Although this was a predictable development, a second paper will be published in which the FAIR principles are revisited, including some of the apparent circulating misperceptions."
i.e. discoverable with metadata, identifiable and locatable by means of a standard identification mechanism
'Accessible'
i.e. always available and obtainable; even if the data is restricted, the metadata is open
'Interoperable'
i.e. both syntactically parseable and semantically understandable, allowing data exchange and reuse between researchers, institutions, organisations or countries; and
'Reusable'
i.e. sufficiently described and shared with the least restrictive licences, allowing the widest reuse possible and the least cumbersome integration with other data sources.