The FAIR principles relate to ensuring sustainable research data management. The acronym FAIR stands for Findable, Accessible, Interoperable and Reusable.

According to the guiding principle: "As open as possible, as closed as necessary", the framework conditions for the legal and technical possibilities of data sets are described, and the use and reusability of research data is enabled and improved.

Accordingly, Open Data is not a condition for FAIR data, as restricting access can also be justified and necessary depending on the type of data.

The FAIR principles according to GO FAIR


F1. (Meta)data are assigned a globally unique and persistent identifier

F2. Data are described with rich metadata (defined by R1 below)

F3. Metadata clearly and explicitly include the identifier of the data they describe

F4. (Meta)data are registered or indexed in a searchable resource


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


Handout about the FAIR principles, TIB Hannover CC BY 4.0



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