The NIH-CFDE FAIR Cookbook¶
The Common Fund Data Ecosystem (CFDE) aims to assist the Common Fund (CF) Data Coordination Centers (DCCs) with the process of making the digital objects that they host and produce better adhere to the Findable, Accessible, Interoperable, and Reusable (FAIR) principles.
This FAIR cookbook provides introductory materials about various aspects of FAIRness, including practical guides that show how to enhance digital objects by adhering them to community accepted standards. This includes, for example, documenting and implementing tools with the OpenAPI specification, structuring metadata in DATS and C2M2 formats, providing schema.org specification on data and tool hosting websites, and converting datasets from C2M2 to frictionless for CFDE ingestion.
The CFDE FAIR Cookbook recipes are provided with executable code and example data to guide DCCs through the various ways FAIRness improvements can be achieved. The cookbook is open source and encourages contributions from the community to improve its quality and enrich its depth and coverage.
The cookbook also describes how to perform FAIR assessment of the digital objects hosted by each DCC with FAIRshake. The vision is that FAIR scores will improve after the DCCs will follow the recipes to improve the FAIRness of their resources and this will be reflected in improved FAIR evaluations.