A standardisation framework for bio‐logging data to advance ecological research and conservation
Open accessAbstract
Bio‐logging data obtained by tagging animals are key to addressing global conservation challenges. However, the many thousands of existing bio‐logging datasets are not easily discoverable, universally comparable, nor readily accessible through existing repositories and across platforms, slowing down ecological research and effective management. A set of universal standards is needed to ensure discoverability, interoperability and effective translation of bio‐logging data into research and management recommendations. We propose a standardisation framework adhering to existing data principles (FAIR: Findable, Accessible, Interoperable and Reusable; and TRUST: Transparency, Responsibility, User focus, Sustainability and Technology) and involving the use of simple templates to create a data flow from manufacturers and researchers to compliant repositories, where automated procedures should be in place to prepare data availability into four standardised levels: (a) decoded raw data, (b) curated data, (c) interpolated data and (d) gridded data. Our framework allows for integration of simple tabular arrays (e.g. csv files) and creation of sharable and interoperable network Common Data Form (netCDF) files containing all the needed information for accuracy‐of‐use, rightful attribution (ensuring data providers keep ownership through the entire process) and data preservation security. We show the standardisation benefits for all stakeholders involved, and illustrate the application of our framework by focusing on marine animals and by providing examples of the workflow across all data levels, including filled templates and code to process data between levels, as well as templates to prepare netCDF files ready for sharing. Adoption of our framework will facilitate collection of Essential Ocean Variables (EOVs) in support of the Global Ocean Observing System (GOOS) and inter‐governmental assessments (e.g. the World Ocean Assessment), and will provide a starting point for broader efforts to establish interoperable bio‐logging data formats across all fields in animal ecology.
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Adoption of FAIR and TRUST principles along with detailed protocol reporting and open workflows is increasingly viewed as the path forward.
“Adoption of FAIR (Findable, Accessible, Interoperable, Reusable) and TRUST (Transparency, Responsibility, User focus, Sustainability, Technology) principles along with detailed protocol reporting and open workflows is increasingly viewed as the path forward (Oswald et al. 2022; Sequeira et al. 2021).”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Sequeira et al. 2021
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Self-citationMismatches in scale between highly mobile marine megafauna and marine protected areas
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Self-citationApplications of telemetry to fish habitat science and management
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Self-citationMovescapes and eco‐evolutionary movement strategies in marine fish: Assessing a connectivity hotspot
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Self-citationEcological inference using data from accelerometers needs careful protocols
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A vision for incorporating human mobility in the study of human–wildlife interactions
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Self-citationNetwork analysis of sea turtle movements and connectivity: A tool for conservation prioritization
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Self-citationShortfalls in tracking data available to inform North American migratory bird conservation
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Maximizing biological insights from instruments attached to animals
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Self-citationBig data approaches to the spatial ecology and conservation of marine megafauna
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Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data
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Self-citationCEBA: A Data Lake for Data Sharing and Environmental Monitoring
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MoveApps: a serverless no-code analysis platform for animal tracking data
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Self-citationEstablishing bio-logging data collections as dynamic archives of animal life on Earth
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Self-citationA comprehensive review on biodiversity information portals
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From biologging to conservation: Tracking individual performance in changing environments
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Synthesizing connectivity information from migratory marine species for area-based management
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Self-citationDeveloping an Observing Air–Sea Interactions Strategy (OASIS) for the global ocean
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Integrating animal tracking and trait data to facilitate global ecological discoveries
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Self-citationA review of age estimation methods in non‐avian reptiles by growth marks in hard tissues
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LIES of omission: complex observation processes in ecology
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MoveTraits —A Database for Integrating Animal Behaviour Into Trait‐Based Ecology
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Self-citationTwo decades of three-dimensional movement data from adult female northern elephant seals
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Self-citationCamtrap DP: An open standard for the FAIR exchange and archiving of camera trap dataPreprint
Bubnicki, J. W., Norton, B., Baskauf, S., Bruce, T., Cagnacci, F., Casaer, J., Churski, M., Cromsigt, J. P. G. M., Farra, S. D., Fiderer, C., et al. (2023) · doi:10.32942/x2bc8j · Cited by 8 · see citing works
Self-citationHow Reproducibility Will Accelerate Discovery Through Collaboration in Physio-Logging
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Ten simple rules for starting FAIR discussions in your community
Belliard, F., Maineri, A., Plomp, E., Padilla, A. F. R., Sun, J., & Jeddi, M. Z. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011668 · Cited by 7 · see citing works
Ocean depth–temperature profiles for operational oceanography from a shark-borne transmitter
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Self-citationSato, K., Watanabe, S., Noda, T., Koizumi, T., Yoda, K., Watanabe, Y. Y., Sakamoto, K. Q., Isokawa, T., Yoshida, M. A., Aoki, K., et al. (2025) · Movement Ecology · doi:10.1186/s40462-025-00551-8 · Cited by 6 · see citing works
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Self-citationIntroducing a unique animal ID and digital life history museum for wildlife metadata
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Self-citationHarvey‐Carroll, J., Carroll, D., Trivella, C.-M., & Connelly, E. (2025) · Wildlife Biology · doi:10.1002/wlb3.01404 · Cited by 5 · see citing works
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Self-citationPeople behind the “pings”; limiting authorship threatens collaboration in telemetry
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Six decades of animal accelerometry: trends, applications, and future directions
Rudd, J. L., Collins, M. A., Righton, D. A., White, H. L., Witt, M. J., Wright, S. R., & Hawkes, L. A. (2026) · Movement Ecology · doi:10.1186/s40462-026-00641-1 · Cited by 4 · see citing works
Global review of shorebird tracking data to identify research gaps and conservation priorities
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The collective application of shorebird tracking data to conservation
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Lessons from a Rubik's Cube to solve the biodiversity crisis
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Self-citationCapacity sharing to protect and restore ecosystems and biodiversity
Muller-Karger, F. E., Hwai, A. T. S., Allcock, A. L., Appeltans, W., Baron-Aguilar, C. C., Blanco, A., Bograd, S. J., Costello, M. J., Darnaude, A. M., Dupuis, B., et al. (2024) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsae187 · Cited by 4 · see citing works
Self-citationIwata, T., & Akamatsu, T. (2025) · Water Biology and Security · doi:10.1016/j.watbs.2025.100383 · Cited by 4 · see citing works
Smart Marine Protected Areas: Innovative Technologies and Adaptive Management Models
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Navigating the Future of Educational Research: Leveraging Generative AI for Improved Insights
Poornesh, M. (2024) · The Clearing House A Journal of Educational Strategies Issues and Ideas · doi:10.1080/00098655.2025.2450435 · Cited by 3 · see citing works
Minimum reporting standards can promote animal welfare and data quality in biologging researchPreprint
Payne, A. R., Hale, C. M., Kendall-Bar, J. M., & Beltran, R. S. (2024) · doi:10.32942/x29k7x · Cited by 3 · see citing works
Liu, H., Zhong, Y., Li, Z., Hu, K., & Hu, X. (2026) · Environmental Science & Technology · doi:10.1021/acs.est.6c02104 · Cited by 2 · see citing works
Animal movement ecology in India: insights from 2011–2021 and prospective for the future
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A framework for optimising opportunistic collaborative syntheses to propel ecological conservation
Sequeira, A. M. M., Bates, A. E., Hays, G. C., SIMS, D. W., Andrzejaczek, S., Audzijonytė, A., Baum, J. K., Beal, M., Block, B. A., Cinner, J. E., et al. (2024) · Biological Conservation · doi:10.1016/j.biocon.2024.110717 · Cited by 2 · see citing works
Self-citationData Synthesis for Big Questions: From Animal Tracks to Ecological Models
Trappes, R. (2023) · Philosophy Theory and Practice in Biology · doi:10.3998/ptpbio.5259 · Cited by 2 · see citing works
Post-breeding dispersal of nesting marine turtles from the NEOM Islands, Saudi Arabia
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Scarpignato, A. L., Stanley, C. Q., Anderson, A. M., Cooper, N. W., Harrison, A., Herrmann, V., López, F. G., Rebollo, M. E., Delaski, K. M., & Marra, P. P. (2026) · The Auk · doi:10.1093/ornithology/ukag023 · Cited by 1 · see citing works
Henry, L., Cleland, J., Gebruk, A., Schubert, R., Penna, A. D., Gaube, P., Mohn, C., Devine, B. M., Arne Biastoch, B., Pagniello, C. M. L. S., et al. (2026) · Progress In Oceanography · doi:10.1016/j.pocean.2026.103760 · Cited by 1 · see citing works
Self-citationCerri, J., Fozzi, I., Costantino, C., Banič, D., Rosa, D. D., Echeverría, J. S. T., Pavin, L., Muzzeddu, M., Scacco, M., Secci, D., et al. (2026) · Bird Conservation International · doi:10.1017/s0959270926100410 · Cited by 1 · see citing works
Fine-scale changes in flight effort revealed by animal-borne loggers
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Timeline to collapsePreprint
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Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation
Zsebők, S. (2026) · Biologia Futura · doi:10.1007/s42977-026-00322-5
“…of FAIR (Findable, Accessible, Interoperable, Reusable) and TRUST (Transparency, Responsibility, User focus, Sustainability, Technology) principles along with detailed protocol reporting and open workflows is increasingly viewed as the path forward (Oswald et al. 2022; Sequeira et al. 2021).”
Global review of shorebird tracking publications: Gaps and priorities for research and conservationPreprint
Michel, G., Nightingale, J., Beal, M., Bernard, A., Dias, M., & Alves, J. A. (2024) · doi:10.32942/x2931t
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Self-citationA novel non-permanent attachment method for bird-borne tracking devices using 3D-printed clamps
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TRACKS: Six good practices for Non-Indigenous Species research and their SWOT evaluation
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Biologgers and remote sensors of animal behavior
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Self-citationEmerging innovations in movement ecology to address planetary challenges
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Carroll, D., Harvey‐Carroll, J., Crespo-Picazo, J. L., García‐Párraga, D., & March, D. (2026) · Animal Biotelemetry · doi:10.1186/s40317-026-00506-9
- Authors
- Sequeira, A. M. M., O'Toole, M., Keates, T. R., McDonnell, L. H., Braun, C. D., Hoenner, X., Jaine, F. R. A., Jonsen, I. D., Newman, P., Pye, J., Bograd, S. J., Hays, G. C., Hazen, E. L., Holland, M., Tsontos, V. M., Blight, C., Cagnacci, F., Davidson, S. C., Dettki, H., Duarte, C. M., Dunn, D. C., Eguíluz, V. M., Fedak, M., Gleiss, A. C., Hammerschlag, N., Hindell, M. A., Holland, K., Janekovic, I., McKinzie, M. K., Muelbert, M. M. C., Pattiaratchi, C., Rutz, C., Sims, D. W., Simmons, S. E., Townsend, B., Whoriskey, F., Woodward, B., Costa, D. P., Heupel, M. R., McMahon, C. R., Harcourt, R., & Weise, M.
- Affiliations
- The University of Western Australia (AU)
- University of California, Santa Cruz (US)
- University of Miami (US)
- University of Washington (US)
- CSIRO Oceans and Atmosphere (AU)
- Integrated Marine Observing System (AU)
- Macquarie University (AU)
- Atlas of Living Australia (AU)
- Dalhousie University (CA)
- National Oceanic and Atmospheric Administration (US)
- Deakin University (AU)
- Wildlife Computers (United States) (US)
- Jet Propulsion Laboratory (US)
- University of St Andrews (GB)
- Fondazione Edmund Mach (IT)
- University of Konstanz (DE)
- Swedish University of Agricultural Sciences (SE)
- King Abdullah University of Science and Technology (SA)
- The University of Queensland (AU)
- Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC‐UIB) Palma de Mallorca Spain
- Murdoch University (AU)
- University of Tasmania (AU)
- University of Hawaiʻi at Mānoa (US)
- Oceans Graduate School and the UWA Oceans Institute The University of Western Australia Crawley WA Australia
- Marine Biological Association of the United Kingdom (GB)
- Marine Mammal Commission (US)
- Department of Biological Sciences Macquarie University Sydney NSW Australia
- Office of Naval Research (US)
- Corresponding author
- Sequeira, Ana M. M.
- ORCID
- Sequeira, Ana M. M.
- O'Toole, Malcolm
- Keates, Theresa R.
- McDonnell, Laura H.
- Braun, Camrin D.
- Hoenner, Xavier
- Jaine, Fabrice R. A.
- Jonsen, Ian D.
- Newman, Peggy
- Pye, Jonathan
- Bograd, Steven J.
- Hays, Graeme C.
- Hazen, Elliott L.
- Holland, Melinda
- Tsontos, Vardis M.
- Blight, Clint
- Cagnacci, Francesca
- Davidson, Sarah C.
- Dettki, Holger
- Duarte, Carlos M.
- Dunn, Daniel C.
- Eguíluz, Victor M.
- Fedak, Michael
- Gleiss, Adrian C.
- Hammerschlag, Neil
- Hindell, Mark A.
- Holland, Kim
- Janekovic, Ivica
- McKinzie, Megan K.
- Muelbert, Mônica M. C.
- Rutz, Christian
- Sims, David W.
- Simmons, Samantha E.
- Whoriskey, Frederick
- Costa, Daniel P.
- Heupel, Michelle R.
- McMahon, Clive R.
- Harcourt, Rob
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2021-04-01
- Volume
- 12
- Issue
- 6
- Pages
- 996-1007
- ISSN
- 2041-210X (ISSN-L)
- OpenAlex
- W3138363439
- Cited by
- 87
- References
- 61
- Citations by year
- 2026: 15 · 2025: 12 · 2024: 16 · 2023: 12 · 2022: 21 · 2021: 11
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Methods in Ecology and Evolution (publishedVersion, cc-by-nc)
- Marine Biological Association (acceptedVersion)
- Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences)) (acceptedVersion, other-oa)
- KOPS (University of Konstanz) (submittedVersion, cc-by-nc)
- CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach) (submittedVersion, cc-by-nc)
- Murdoch University Research Portal (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by-nc)
- Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community) (submittedVersion, cc-by-nc)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by-nc)
- NOAA Institutional Repository (submittedVersion, cc-by-nc)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (submittedVersion)
- St Andrews Research Repository (St Andrews Research Repository) (submittedVersion, cc-by)
- Funders
- Pew Charitable Trusts
- Office of Naval Research Global (N00014‐19‐1‐2573)
- Australian Research Council (DP210103091)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Physical Sciences › Earth and Planetary Sciences › Geology › Environmental Monitoring and Data Management
- Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
- Keywords
- data standardization, FAIR principles, trust principle, data interoperability, data repositories, NetCDF, animal tracking, marine fauna, Essential Ocean Variables, Global Ocean Observing System, data curation, data sharing, conservation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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