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The FAIR Data Principles are concise and measureable guidelines of what is expected from data, metadata, and related infrastructure to achieve higher levels of findability, accessibility, interoperability, and reuse. The Principles were not meant to provide concrete directions for implementation. However, it is important to define criteria to assess the FAIRness of digital objects, given the fast and widespread adoption of the FAIR Data Principles in funding programmes and large research infrastructures.

Currently, GO FAIR is evaluating a set of metrics for the evaluation of FAIRness defined by the FAIR Metrics Group. If we accept these metrics, they will be published here along with their documentation.