The first step in reusing and sharing data is to find them. Metadata and data should be easily found by humans and computers. Machine-readable metadata are essential for discovery of datasets and services.

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

F2. Data are described with rich metadata

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

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

Users need to easily understand how data can be accessed via the right authentication and authorization of use.

A1. (Meta)data are retrievable by their identifier using a standardized communications protocol

A2. Metadata are accessible, even when the data are no longer available

The data need to be integrated with other related data and work with applications or workflows for analysis, storage, and processing.

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

The ultimate goal of FAIR is to allow sharing and reuse of data.

R1. (Meta)data are richly described with a plurality of accurate and relevant attributes

R1.1. (Meta)data are released with clear and accessible data usage license

R1.2. (Meta)data are associated with detailed provenance

R1.3. (Meta)data meet domain-relevant community standards