Implementing FAIR Data Management Within the German Network for Bioinformatics Infrastructure (de.NBI) Exemplified by Selected Use Cases

Overview

Journal Brief Bioinform

Publisher Oxford University Press

Specialty Biology

Date 2021 Feb 16

PMID 33589928

Citations 11

Authors

Gerhard Mayer

Wolfgang Muller

Karin Schork

Julian Uszkoreit

Andreas Weidemann

Ulrike Wittig

Maja Rey

Christian Quast

Janine Felden

Frank Oliver Glockner

Matthias Lange

Daniel Arend

Sebastian Beier

Astrid Junker

Uwe Scholz

Danuta Schuler

Hans A Kestler

Daniel Wibberg

Alfred Puhler

Sven Twardziok

Jurgen Eils

Roland Eils

Steve Hoffmann

Martin Eisenacher

Michael Turewicz

Affiliations

Soon will be listed here.

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.

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