FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication-Reference-Cited by-同舟云学术

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

Published:2023 Issue:1 Volume:5 Page:163-183
ISSN:2641-435X
Container-title:Data Intelligence
language:en
Short-container-title:

Author:

da Silva Santos Luiz Olavo Bonino¹,Burger Kees²,Kaliyaperumal Rajaram²,Wilkinson Mark D.³

Affiliation:

1. Services and Cybersecurity group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente - Enschede, 7513 GB, the Netherlands

2. Biosemantics group, Department of Human Genetics, Leiden University Medical Center - Leiden, NL 2333 ZC, the Netherlands

3. Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas; Centro de Biotecnología y Genómica de Plantas UPM - INIA; Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, ES 28223, Spain

Abstract

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.

Publisher

MIT Press

Subject

Artificial Intelligence,Library and Information Sciences,Computer Science Applications,Information Systems

Link

https://direct.mit.edu/dint/article-pdf/5/1/163/2074301/dint_a_00160.pdf

Reference13 articles.

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