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

被引：0

作者：

Luiz Olavo Bonino da Silva Santos ^{[1
,2
]}

Kees Burger ^{[2
]}

Rajaram Kaliyaperumal ^{[2
]}

Mark DWilkinson ^{[3
,4
,5
]}

机构：

[1] Services and Cybersecurity group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente-Enschede

[2] Biosemantics group, Department of Human Genetics, Leiden University Medical Center-Leiden

[3] Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas

[4] Centro de Biotecnología y Genómica de Plantas UPM–INIA

[5] Universidad Politécnica de Madrid (UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria

来源：

Data Intelligence | 2023年 / 5卷 / 01期

关键词：

D O I：

暂无

中图分类号：

TP311.13 [];

学科分类号：

1201 ;

摘要：

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.

引用

页码：163 / 183

页数：21

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