FAIR data principles

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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."[1]

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