To accelerate broad community convergence on FAIR implementation options, the GO FAIR community launched the development of machine-actionable FAIR Implementation Profiles (FIP). The FIP is a collection of FAIR implementation choices made by a community of practice for each of the FAIR Principles. Community specific FAIR Implementation Profiles are captured as FAIR datasets and are openly available to other communities for reuse.
The FAIR Implementation Profiles, which represent the implementation strategies of various communities, can be used as the basis to optimise the reuse of existing FAIR-enabling resources and interoperation within and between domains. Ready-made and well-tested FAIR Implementation Profiles created by trusted communities can find widespread reuse among other communities, and vastly accelerate convergence onto well-informed FAIR implementations.
