Journeying towards best practice data management in biodiversity genomics.
CARE principles for indigenous data governance
FAIR guiding principles
data lifecycle
data management plans
digital sequence information
indigenous data sovereignty
Journal
Molecular ecology resources
ISSN: 1755-0998
Titre abrégé: Mol Ecol Resour
Pays: England
ID NLM: 101465604
Informations de publication
Date de publication:
24 Oct 2023
24 Oct 2023
Historique:
revised:
15
09
2023
received:
04
05
2023
accepted:
03
10
2023
medline:
24
10
2023
pubmed:
24
10
2023
entrez:
24
10
2023
Statut:
aheadofprint
Résumé
Advances in sequencing technologies and declining costs are increasing the accessibility of large-scale biodiversity genomic datasets. To maximize the impact of these data, a careful, considered approach to data management is essential. However, challenges associated with the management of such datasets remain, exacerbated by uncertainty among the research community as to what constitutes best practices. As an interdisciplinary team with diverse data management experience, we recognize the growing need for guidance on comprehensive data management practices that minimize the risks of data loss, maximize efficiency for stand-alone projects, enhance opportunities for data reuse, facilitate Indigenous data sovereignty and uphold the FAIR and CARE Guiding Principles. Here, we describe four fictional personas reflecting differing user experiences with data management to identify data management challenges across the biodiversity genomics research ecosystem. We then use these personas to demonstrate realistic considerations, compromises and actions for biodiversity genomic data management. We also launch the Biodiversity Genomics Data Management Hub (https://genomicsaotearoa.github.io/data-management-resources/), containing tips, tricks and resources to support biodiversity genomics researchers, especially those new to data management, in their journey towards best practice. The Hub also provides an opportunity for those biodiversity researchers whose expertise lies beyond genomics and are keen to advance their data management journey. We aim to support the biodiversity genomics community in embedding data management throughout the research lifecycle to maximize research impact and outcomes.
Identifiants
pubmed: 37873890
doi: 10.1111/1755-0998.13880
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023 Manaaki Whenua - Landcare Research and The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.
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