FAIRness in Biomedical Data Discovery

Alina Trifan, José Luís Oliveira

2019

Abstract

The FAIR Guiding Principles are a recent, yet powerful set of recommendations for turning data Findable, Accessible, Interoperable and Reusable. They were designed with the purpose of improving data quality and reusability. Over the last couple of years they have been adopted more and more by both data owners and funders as key data management approaches. Despite their increasing popularity and endorsement by multiple research initiatives from some of the most diverse areas, there are still only a few examples on how these principles have been translated into practice. In this work we propose an open evaluation of their adoption by biomedical data discovery platforms. We first overview current biomedical data discovery platforms that introduce the FAIR guiding principles as requirements of their functioning. We then employ the more recent FAIR metrics for evaluating the degree to which these biomedical data discovery platforms follow the FAIR principles. Moreover, we assess their impact on enabling data interoperability and secondary reuse.

Paper Citation

in Harvard Style

Trifan A. and Oliveira J. (2019). FAIRness in Biomedical Data Discovery. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF; ISBN 978-989-758-353-7, SciTePress, pages 159-166. DOI: 10.5220/0007576401590166

in Bibtex Style

@conference{healthinf19,
author={Alina Trifan and José Luís Oliveira},
title={FAIRness in Biomedical Data Discovery},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF},
year={2019},
pages={159-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007576401590166},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF
TI - FAIRness in Biomedical Data Discovery
SN - 978-989-758-353-7
AU - Trifan A.
AU - Oliveira J.
PY - 2019
SP - 159
EP - 166
DO - 10.5220/0007576401590166
PB - SciTePress