FAIR-Prin­zi­pien für Forschungsdaten

Die “FAIR Data Princi­ples” benennen Grund­sätze, die Forschungs­daten erfüllen sollen, damit sie nach­haltig nach­nutzbar sind. Zudem leiten sich daraus Anfor­de­rungen an die Forschungs­da­ten­in­fra­struk­turen ab.

Das Akronym löst sich wie folgt auf: “Find­able, Acces­sible, Inter­ope­rable and Re-usable”  und postu­liert diese Krite­rien als Eigen­schaften von Forschungsdaten:

  • 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.


  • 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.


  • 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.


  • 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
  1. http://www.force11.org/group/fairgroup/fairprinciples []