FAIR Cookbook

FAIR Cookbook provides practical recipes and guidance to FAIRify datasets, metadata, and workflows in bioinformatics and life sciences to improve data Findability, Accessibility, Interoperability, and Reusability.

Key Features:

• Comprehensive Guidance: Outlines key steps in a FAIRification journey and provides indicators of FAIRness at different levels.
• Maturity Model: Incorporates a maturity model to assess and progressively improve data management practices.
• Technological Resources: Catalogs technologies, tools, and standards available for achieving and enhancing data FAIRness.
• Skill Development: Identifies necessary skills for implementing FAIR principles and addresses common practitioner challenges.
• Open Contribution: Operates within the ELIXIR ecosystem and is recommended by funders, supporting community contributions of new recipes.

Scientific Applications:

• Reproducibility: Supports reproducible research by promoting standardized, well-described data and metadata aligned with FAIR principles.
• Data stewardship assessment: Enables assessment and improvement of data management practices using maturity indicators.
• Policy and standards alignment: Informs policy formulation and compliance by documenting relevant standards, tools, and technologies.
• Training and capacity building: Facilitates practitioner skill development through hands-on recipes and guidance.

Methodology:

Provides hands-on FAIRification recipes, applies a maturity model, and documents technologies, tools, and standards for FAIR data.