Advances in sequencing technologies and declining costs are increasing
the accessibility of large-scale biodiversity genomic data sets. To
maximise the impact of these data, a careful, considered approach to
data management is essential. However, challenges associated with the
management of such data sets 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 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 adopting best
practice. We aim to support the biodiversity genomics community in
embedding data management throughout the research life cycle to maximise
research impacts and outcomes.