What is FAIR?
The FAIR principles are guidelines for improving the Findability, Accessibility, Interoperability, and Reuse of digital assets. Researchers increasingly rely on computational support to deal with big and complex data, therefore the FAIR principles emphasise the machine-actionability of data - the capacity of computational systems to find, access, interoperate, and reuse data without human intervention.
The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.