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

Data Intelligence, vol. 5, pp. 163–183

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.

Authors 3

1. Luiz Olavo Bonino da Silva Santos corresponding Aachen Biosemantics group Department of Human Genetics

   Leiden University · University of Twente · Leiden University Medical Center

   Affiliation as printed

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

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

2. Rajaram Kaliyaperumal Aachen Biosemantics group Department of Human Genetics

   Leiden University · Leiden University Medical Center

   Affiliation as printed

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

3. Mark D. Wilkinson

   Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria · Centre for Plant Biotechnology and Genomics · Universidad Politécnica de Madrid

   Affiliation as printed

   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