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

Data Management / methods Genome, Human High-Throughput Nucleotide Sequencing Humans International Cooperation Metadata Neural Networks, Computer Phenotype Plants / genetics Proteome Proteomics / methods Self-Assessment Software Workflow

FAIR principles data management data maturity de.NBI hourglass model self-assessment

Journal

Briefings in bioinformatics

ISSN: 1477-4054

Titre abrégé: Brief Bioinform

Pays: England

ID NLM: 100912837

Informations de publication

Date de publication:
02 09 2021

Historique:

received: 17 10 2020

revised: 21 12 2020

accepted: 06 01 2021

pubmed: 17 2 2021

medline: 23 11 2021

entrez: 16 2 2021

Statut: ppublish

Résumé

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.

Identifiants

DOI: 10.1093/bib/bbab010 PMID: 33589928 PMC: PMC8425304

pubmed: 33589928

pii: 6135008

doi: 10.1093/bib/bbab010

pmc: PMC8425304

pii:

doi:

Substances chimiques

Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

Informations de copyright

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