Evaluation of Architectures for FAIR Data Management in a Research Data Management Use Case

Benedikt Heinrichs, Marius Politze, M. Yazdi

2022

Abstract

Research data management systems are mostly designed to manage data according to the FAIR Guiding Principles. In order for the systems themselves to follow this promise and improve the possibility of networking between decentralized systems, they should incorporate standardized interfaces for exchange of data and metadata. For this purpose, in the last couple of years, several standards emerged which try to fill this gap and define data structures and APIs. This paper aims to evaluate these standards by defining the requirements of a research data management system called Coscine as a use case and seeing if the current standards meet the defined needs. The evaluation shows that there is not one complete standard for every requirement but that they can complete each other to fulfill the goal of a standardized research data management system.

Paper Citation

in Harvard Style

Heinrichs B., Politze M. and Yazdi M. (2022). Evaluation of Architectures for FAIR Data Management in a Research Data Management Use Case. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 476-483. DOI: 10.5220/0011302700003269

in Bibtex Style

@conference{data22,
author={Benedikt Heinrichs and Marius Politze and M. Yazdi},
title={Evaluation of Architectures for FAIR Data Management in a Research Data Management Use Case},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={476-483},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011302700003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Evaluation of Architectures for FAIR Data Management in a Research Data Management Use Case
SN - 978-989-758-583-8
AU - Heinrichs B.
AU - Politze M.
AU - Yazdi M.
PY - 2022
SP - 476
EP - 483
DO - 10.5220/0011302700003269