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dc.contributor.authorSequeira, Ana M.M.
dc.contributor.authorO’Toole, Malcolm
dc.contributor.authorKeates, Theresa R.
dc.contributor.authorMcDonnell, Laura H.
dc.contributor.authorBraun, Camrin D.
dc.contributor.authorHoenner, Xavier
dc.contributor.authorJaine, Fabrice R.A.
dc.contributor.authorJonsen, Ian D.
dc.contributor.authorNewman, Peggy
dc.contributor.authorPye, Jonathan
dc.contributor.authorBograd, Steven J.
dc.contributor.authorHays, Graeme C.
dc.contributor.authorHazen, Elliott L
dc.contributor.authorHolland, Melinda
dc.contributor.authorTsontos, Vardis
dc.contributor.authorBlight, Clint
dc.contributor.authorCagnacci, Francesca
dc.contributor.authorDavidson, Sarah C.
dc.contributor.authorDettki, Holger
dc.contributor.authorDuarte, Carlos M.
dc.contributor.authorDunn, Daniel C.
dc.contributor.authorEguíluz, Victor M.
dc.contributor.authorFedak, Michael
dc.contributor.authorGleiss, Adrian C.
dc.contributor.authorHammerschlag, Neil
dc.contributor.authorHindell, Mark A.
dc.contributor.authorHolland, Kim
dc.contributor.authorJanekovic, Ivica
dc.contributor.authorMcKinzie, Megan K.
dc.contributor.authorMuelbert, Mônica M.C.
dc.contributor.authorPattiaratchi, Chari
dc.contributor.authorRutz, Christian
dc.contributor.authorSims, David W.
dc.contributor.authorSimmons, Samantha E.
dc.contributor.authorTownsend, Brendal
dc.contributor.authorWhoriskey, Frederick
dc.contributor.authorWoodward, Bill
dc.contributor.authorCosta, Daniel P.
dc.contributor.authorHeupel, Michelle R.
dc.contributor.authorMcMahon, Clive R.
dc.contributor.authorHarcourt, Rob
dc.contributor.authorWeise, Michael
dc.date.accessioned2021-04-06T09:30:05Z
dc.date.available2021-04-06T09:30:05Z
dc.date.issued2021-06
dc.identifier.citationSequeira , 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 , 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 2021 , ' A standardisation framework for bio-logging data to advance ecological research and conservation ' , Methods in Ecology and Evolution , vol. 12 , no. 6 , pp. 996-1007 . https://doi.org/10.1111/2041-210X.13593en
dc.identifier.issn2041-210X
dc.identifier.otherPURE: 273354335
dc.identifier.otherPURE UUID: c4ff4776-a192-441f-8875-3ec702b4f82d
dc.identifier.otherRIS: urn:DB40744D3D3034240F8ED2BC048E8242
dc.identifier.otherORCID: /0000-0002-9569-1128/work/92019840
dc.identifier.otherORCID: /0000-0001-5187-7417/work/92020009
dc.identifier.otherScopus: 85103983023
dc.identifier.otherWOS: 000635644300001
dc.identifier.otherORCID: /0000-0002-3481-7428/work/95041841
dc.identifier.urihttp://hdl.handle.net/10023/21770
dc.descriptionFunding: AMMS was funded by a 2020 Pew Fellowship in Marine Conservation, ARC DE170100841, and also supported by AIMS. CR was the recipient of a Radcliffe Fellowship at the Radcliffe Institute for Advanced Study, Harvard University.en
dc.description.abstractBio-logging data obtained by tagging animals is 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. This slows 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: (i) decoded raw data, (ii) curated data, (iii) interpolated data, and (iv) 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, providing data examples, 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.language.isoeng
dc.relation.ispartofMethods in Ecology and Evolutionen
dc.rightsCopyright © 2021 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.en
dc.subjectBio-logging templateen
dc.subjectData accessibility and interoperabilityen
dc.subjectData standardsen
dc.subjectMetadata templatesen
dc.subjectMovement ecologyen
dc.subjectSensorsen
dc.subjectTelemetryen
dc.subjectTrackingen
dc.subjectGE Environmental Sciencesen
dc.subjectGC Oceanographyen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccGEen
dc.subject.lccGCen
dc.subject.lccQH301en
dc.titleA standardisation framework for bio-logging data to advance ecological research and conservationen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews.Centre for Social Learning & Cognitive Evolutionen
dc.identifier.doihttps://doi.org/10.1111/2041-210X.13593
dc.description.statusPeer revieweden


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