FAIR data principles

Die "FAIR Data Principles" formulieren Grundsätze, die nachhaltig nachnutzbare Forschungsdaten erfüllen müssen und die Forschungsdateninfrastrukturen dementsprechend im Rahmen der von ihnen angebotenen Services implementieren sollten. Gemäß der FAIR-Prinzipien sollen Daten "Findable, Accessible, Interoperable, and Re-usable" sein. Im Einzelnen bedeutet dies:

"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 Re-usable:

• R1. meta(data) have 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 their provenance.
• R1.3. (meta)data meet domain-relevant community standards."

Weiterführende Links

• FAIR Data Principles bei der Go-FAIR-Initative
• FAIR Data Principles bei FORCE11
• Wilkinson et al. (2016), The FAIR Guiding Principles for scientific data management and stewardship, Scientific Data 3, doi:10.1038/sdata.2016.18
• Erläuterung der FAIR Data Principles vom SNF (engl)