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Short DescriptionÂ
In this pre-FAIRification phase you assess whether your (meta)data already contains FAIR features, such as persistent unique identifiers for data elements and rich metadata, by using FAIRness assessment tooling [Generic]. By quantifying the level of FAIRness of the data based on its current characteristics and environment, the assessment outcomes can help shape the necessary steps and requirements needed to achieve the desired FAIRification objectives [FAIRInAction]. The outcomes of this assessment can be used to compare against in the Assess FAIRness step (step X) to track the progress of you data towards FAIRness.
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