Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases-Reference-Cited by-同舟云学术

Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases

Published:2021-02-16 Issue:5 Volume:22 Page:
ISSN:1467-5463
Container-title:Briefings in Bioinformatics
language:en
Short-container-title:

Author:

Mayer Gerhard¹²³,Müller Wolfgang⁴,Schork Karin¹²,Uszkoreit Julian¹²,Weidemann Andreas⁴,Wittig Ulrike⁴,Rey Maja⁴,Quast Christian⁵,Felden Janine⁵⁶,Glöckner Frank Oliver⁵⁶⁷,Lange Matthias⁸,Arend Daniel⁸,Beier Sebastian⁸,Junker Astrid⁸,Scholz Uwe⁸,Schüler Danuta⁸,Kestler Hans A³⁹,Wibberg Daniel¹⁰,Pühler Alfred¹⁰,Twardziok Sven¹¹,Eils Jürgen¹¹,Eils Roland¹¹¹²,Hoffmann Steve⁹,Eisenacher Martin¹²,Turewicz Michael¹²

Affiliation:

1. Ruhr University Bochum, Faculty of Medicine, Medizinisches Proteom-Center, Bochum, Germany

2. Ruhr University Bochum, Center for Protein Diagnostics (ProDi), Medical Proteome Analysis, Bochum, Germany

3. Ulm University, Institute of Medical Systems Biology, Ulm, Germany

4. Heidelberg Institute for Theoretical Studies (HITS gGmbH), Scientific Databases and Visualization Group, Heidelberg, Germany

5. Jacobs University Bremen gGmbH, Bremen, Germany

6. University of Bremen, MARUM - Center for Marine Environmental Sciences, Bremen, Germany

7. Alfred Wegener Institute - Helmholtz Center for Polar- and Marine Research, Bremerhaven, Germany

8. Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany

9. Leibniz Institute on Ageing - Fritz Lipmann Institute, Jena

10. Bielefeld University, Center for Biotechnology (CeBiTec), Bielefeld, Germany

11. Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Center for Digital Health, Berlin, Germany

12. Heidelberg University Hospital and BioQuant, Health Data Science Unit, Heidelberg, Germany

Abstract

Abstract This article describes some use case studies and self-assessments of FAIR status of de.NBI services to illustrate the challenges and requirements for the definition of the needs of adhering to the FAIR (findable, accessible, interoperable and reusable) data principles in a large distributed bioinformatics infrastructure. We address the challenge of heterogeneity of wet lab technologies, data, metadata, software, computational workflows and the levels of implementation and monitoring of FAIR principles within the different bioinformatics sub-disciplines joint in de.NBI. On the one hand, this broad service landscape and the excellent network of experts are a strong basis for the development of useful research data management plans. On the other hand, the large number of tools and techniques maintained by distributed teams renders FAIR compliance challenging.

Funder

German Federal Ministry of Education and Research

German Federal State North Rhine-Westphalia

Max Planck Society

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Link

http://academic.oup.com/bib/article-pdf/22/5/bbab010/40261516/bbab010.pdf

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