TY - JOUR
T1 - Establishing bio-logging data collections as dynamic archives of animal life on Earth
AU - Davidson, Sarah C.
AU - Cagnacci, Francesca
AU - Newman, Peggy
AU - Dettki, Holger
AU - Urbano, Ferdinando
AU - Desmet, Peter
AU - Bajona, Lenore
AU - Bryant, Edmund
AU - Carneiro, Ana P. B.
AU - Dias, Maria P.
AU - Fujioka, Ei
AU - Gambin, David
AU - Hoenner, Xavier
AU - Hunter, Colin
AU - Kato, Akiko
AU - Kot, Connie Y.
AU - Kranstauber, Bart
AU - Lam, Chi Hin
AU - Lepage, Denis
AU - Naik, Hemal
AU - Pye, Jonathan D.
AU - Sequeira, Ana M. M.
AU - Tsontos, Vardis M.
AU - van Loon, Emiel
AU - Vo, Danny
AU - Rutz, Christian
PY - 2025/1/3
Y1 - 2025/1/3
N2 - Rapid growth in bio-logging—the use of animal-borne electronic tags to document the movements, behaviour, physiology and environments of wildlife—offers opportunities to mitigate biodiversity threats and expand digital natural history archives. Here we present a vision to achieve such benefits by accounting for the heterogeneity inherent to bio-logging data and the concerns of those who collect and use them. First, we can enable data integration through standard vocabularies, transfer protocols and aggregation protocols, and drive their wide adoption. Second, we need to develop integrated data collections on standardized data platforms that support data preservation through public archiving and strategies that ensure long-term access. We outline pathways to reach these goals, highlighting the need for resources to govern community data standards and guide data mobilization efforts. We propose the launch of a community-led coordinating body and provide recommendations for how stakeholders—including government data centres, museums and those who fund, permit and publish bio-logging work—can support these efforts.
AB - Rapid growth in bio-logging—the use of animal-borne electronic tags to document the movements, behaviour, physiology and environments of wildlife—offers opportunities to mitigate biodiversity threats and expand digital natural history archives. Here we present a vision to achieve such benefits by accounting for the heterogeneity inherent to bio-logging data and the concerns of those who collect and use them. First, we can enable data integration through standard vocabularies, transfer protocols and aggregation protocols, and drive their wide adoption. Second, we need to develop integrated data collections on standardized data platforms that support data preservation through public archiving and strategies that ensure long-term access. We outline pathways to reach these goals, highlighting the need for resources to govern community data standards and guide data mobilization efforts. We propose the launch of a community-led coordinating body and provide recommendations for how stakeholders—including government data centres, museums and those who fund, permit and publish bio-logging work—can support these efforts.
UR - https://rdcu.be/d5ptG
U2 - 10.1038/s41559-024-02585-4
DO - 10.1038/s41559-024-02585-4
M3 - A1: Web of Science-article
SN - 2397-334X
JO - Nature Ecology and Evolution
JF - Nature Ecology and Evolution
ER -