FAIR Data Principles

The FAIR Data Principles represent internationally recognized and required principles for research data sharing.

To be Findable:

• F1. (meta)data are assigned a globally unique and eternally persistent identifier.
• F2. data are described with rich metadata.
• F3. (meta)data are registered or indexed in a searchable resource.
• F4. metadata specify the data identifier.

To be Accessible:

• A1 (meta)data are retrievable by their identifier using a standardized communications protocol.
  • A1.1 the protocol is open, free, and universally implementable.
  • A1.2 the protocol allows for an authentication and authorization procedure, where necessary.
• A2 metadata are accessible, even when the data are no longer available.

To be Interoperable:

• I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
• I2. (Meta)data use vocabularies that follow FAIR principles.
• I3. (Meta)data include qualified references to other (meta)data.

To be Reusable:

• R1. (Meta)data are richly described with a plurality of accurate and relevant attributes.
  • R1.1. (Meta)data are released with a clear and accessible data usage license.
  • R1.2. (Meta)data are associated with detailed provenance.
  • R1.3. (Meta)data meet domain-relevant community standards.

Licensed under a Creative Commons Attribution 4.0 International license ©2019 Japan Science and Technology Agency, National Bioscience Database Center Sources: FORCE11: THE FAIR DATA PRINCIPLES (2016). https://www.force11.org/group/fairgroup/fairprinciples NBDC Research Team (trans.), “FAIR Principles (Japanese translation of ‘THE FAIR DATA PRINCIPLES’)” (2019) https://doi.org/10.18908/a.2019112601