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

Luiz Olavo Bonino da Silva Santos; Kees Burger; Rajaram Kaliyaperumal; Mark D. Wilkinson

doi:10.1162/dint_a_00160

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

Luiz Olavo Bonino da Silva Santos^*
, Kees Burger
, Rajaram Kaliyaperumal
, Mark D. Wilkinson (Editor)

^*Corresponding author for this work

Semantics, Cybersecurity & Services

Research output: Contribution to journal › Article › Academic › peer-review

41 Citations (Scopus)

256 Downloads (Pure)

Abstract

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.

Original language	English
Pages (from-to)	163-183
Number of pages	21
Journal	Data Intelligence
Volume	5
Issue number	1
Early online date	8 Mar 2023
DOIs	https://doi.org/10.1162/dint_a_00160
Publication status	Published - Mar 2023

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abstract = "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.",

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AB - 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.

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

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