FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication

Metadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss the FAIR Data Point (FDP), a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles. We present the core components and features of the FDP, its approach to metadata provision, the criteria to evaluate whether an application adheres to the FDP specifications and the service to register, index and allow users to search for metadata content of available FDPs.

Automated summary

This paper presents and discusses the FAIR Data Point (FDP), a software architecture that aims to define a common approach to publishing semantically-rich and machine-actionable metadata according to the FAIR principles. The FDP includes core components and features, an approach to metadata provision, criteria for evaluating adherence to FDP specifications, and a service for registering, indexing, and searching for metadata content of available FDPs.