The FAIR Cookbook Recipes¶
Each recipe in the FAIR cookbook provides detailed guidance on how FAIR principles are implemented and supported in practice within the context of the CFDE.
The Discoverability section highlights the Crosscut Metadata Model (C2M2) metadata standards, which are designed to improve the findability of data from various data coordination centers (DCCs). Examples of how data from the KidsFirst and LINCS DCCs can be extracted, transformed, and loaded (ETL) into the C2M2 are provided.
The Identification section discusses the significance of assigning unique, persistent, and resolvable identifiers to entities within the context of FAIR data, how those identifiers are used within the CFDE infrastructure to enable data interoperability, and how to generate identifiers using Minid.
The Semantics section introduces controlled vocabularies and ontologies, how they are built, and why they are important for data harmonization. A brief overview is provided of existing ontologies and ontology-related services, as well as of the terminologies and ontologies currently used in the CFDE.
The FAIR Compliance section addresses how adherence to the FAIR principles can be assessed using FAIRshake, a service that catalogs digital objects and measures their FAIR compliance based on some set of criteria. This section also outlines the CFDE FAIR Rubric, the set of metrics specifically designed to evaluate the FAIRness of datasets from different Common Fund DCCs. A tutorial on building FAIR Application Programming Interfaces (API) is included.
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