Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases. Issue 5 (16th February 2021)

• Record Type: Journal Article
• Authors: Mayer, Gerhard; Müller, Wolfgang; Schork, Karin; Uszkoreit, Julian; Weidemann, Andreas; Wittig, Ulrike; Rey, Maja; Quast, Christian; Felden, Janine; Glöckner, Frank Oliver; Lange, Matthias; Arend, Daniel; Beier, Sebastian; Junker, Astrid; Scholz, Uwe; Schüler, Danuta; Kestler, Hans A; Wibberg, Daniel; Pühler, Alfred; Twardziok, Sven; Eils, Jürgen; Eils, Roland; Hoffmann, Steve; Eisenacher, Martin; Turewicz, Michael
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 5(2021)
• Publication Date: 2021-02-16
• Subjects: data management -- de.NBI -- FAIR principles -- hourglass model -- self-assessment -- data maturity; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbab010
• Languages: English
• ISSNs: 1467-5463

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.