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Journeying towards best practice data management in biodiversity genomics
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  • Natalie Forsdick,
  • Jana Wold,
  • Anton Angelo,
  • François Bissey,
  • Jamie Hart,
  • Mitchell Head,
  • Libby Liggins,
  • Dinindu Senanayake,
  • Tammy Steeves
Natalie Forsdick
Landcare Research New Zealand Auckland

Corresponding Author:[email protected]

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Jana Wold
University of Canterbury College of Science
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Anton Angelo
University of Canterbury
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François Bissey
University of Canterbury
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Jamie Hart
University of Canterbury
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Mitchell Head
The University of Waikato
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Libby Liggins
Massey University Auckland
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Dinindu Senanayake
The University of Auckland
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Tammy Steeves
University of Canterbury College of Science
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Advances in sequencing technologies and declining costs are increasing the accessibility of large-scale biodiversity genomic datasets. To maximise 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 recognise the growing need for guidance on comprehensive data management practices that minimise the risks of data loss, maximise 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 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 maximise research impact and outcomes.
05 May 2023Submitted to Molecular Ecology Resources
05 May 2023Submission Checks Completed
05 May 2023Assigned to Editor
05 May 2023Review(s) Completed, Editorial Evaluation Pending
18 May 2023Reviewer(s) Assigned
06 Jul 2023Editorial Decision: Revise Minor
25 Aug 20231st Revision Received
26 Aug 2023Assigned to Editor
26 Aug 2023Submission Checks Completed
26 Aug 2023Review(s) Completed, Editorial Evaluation Pending
11 Sep 2023Editorial Decision: Revise Minor
14 Sep 20232nd Revision Received
16 Sep 2023Submission Checks Completed
16 Sep 2023Assigned to Editor
16 Sep 2023Review(s) Completed, Editorial Evaluation Pending
03 Oct 2023Editorial Decision: Accept