A standardisation framework for bio-logging data to advance ecological research and conservation

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dc.contributor.author Sequeira, A.M.M.
dc.contributor.author O'Toole, M.
dc.contributor.author Keates, T.R.
dc.contributor.author McDonnell, L.H.
dc.contributor.author Braun, C.D.
dc.contributor.author Hoenner, X.
dc.contributor.author Jaine, F.R.A.
dc.contributor.author Jonsen, I.D.
dc.contributor.author Newman, P.
dc.contributor.author Pye, J.
dc.contributor.author Bograd, S.J.
dc.contributor.author Hays, G.C.
dc.contributor.author Hazen, E.L.
dc.contributor.author Holland, M.
dc.contributor.author Tsontos, V.
dc.contributor.author Blight, C.
dc.contributor.author Cagnacci, F.
dc.contributor.author Davidson, S.C.
dc.contributor.author Dettki, H.
dc.contributor.author Duarte, C.M.
dc.contributor.author Dunn, D.C.
dc.contributor.author Eguíluz, V.M.
dc.contributor.author Fedak, M.
dc.contributor.author Gleiss, A.C.
dc.contributor.author Hammerschlag, N.
dc.contributor.author Hindell, M.A.
dc.contributor.author Holland, K.
dc.contributor.author Janekovic, I.
dc.contributor.author McKinzie, M.K.
dc.contributor.author Muelbert, M.M.C.
dc.contributor.author Pattiaratchi, C.
dc.contributor.author Rutz, C.
dc.contributor.author Sims, D.W.
dc.contributor.author Simmons, S.E.
dc.contributor.author Townsend, B.
dc.contributor.author Whoriskey, F.
dc.contributor.author Woodward, B.
dc.contributor.author Costa, D.P.
dc.contributor.author Heupel, M.R.
dc.contributor.author McMahon, C.R.
dc.date.accessioned 2021-06-10T07:55:08Z
dc.date.available 2021-06-10T07:55:08Z
dc.identifier.uri http://hdl.handle.net/11201/155568
dc.description.abstract [eng] 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.
dc.format application/pdf
dc.relation.isformatof https://doi.org/10.1111/2041-210X.13593
dc.relation.ispartof Methods In Ecology And Evolution, 2021, vol. 12, num. 6, p. 996-1007
dc.rights , 2021
dc.subject.classification 53 - Física
dc.subject.other 53 - Physics
dc.title A standardisation framework for bio-logging data to advance ecological research and conservation
dc.type info:eu-repo/semantics/article
dc.date.updated 2021-06-10T07:55:08Z
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.identifier.doi https://doi.org/10.1111/2041-210X.13593

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