Publikation: A standardisation framework for bio‐logging data to advance ecological research and conservation
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2021
Autor:innen
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
et al.
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Methods in Ecology and Evolution. Wiley. 2021, 12(6), pp. 996-1007. ISSN 2041-2096. eISSN 2041-210X. Available under: doi: 10.1111/2041-210X.13593
Zusammenfassung
- 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.
2. 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.
3. 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.
4. 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.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
bio-logging template, data accessibility and interoperability, data standards, metadata templates, movement ecology, sensors, telemetry, tracking
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SEQUEIRA, Ana M. M., Malcolm O'TOOLE, Theresa R. KEATES, Laura H. MCDONNELL, Camrin D. BRAUN, Xavier HOENNER, Fabrice R. A. JAINE, Ian D. JONSEN, Peggy NEWMAN, Sarah C. DAVIDSON, 2021. A standardisation framework for bio‐logging data to advance ecological research and conservation. In: Methods in Ecology and Evolution. Wiley. 2021, 12(6), pp. 996-1007. ISSN 2041-2096. eISSN 2041-210X. Available under: doi: 10.1111/2041-210X.13593BibTex
@article{Sequeira2021-06stand-53526, year={2021}, doi={10.1111/2041-210X.13593}, title={A standardisation framework for bio‐logging data to advance ecological research and conservation}, number={6}, volume={12}, issn={2041-2096}, journal={Methods in Ecology and Evolution}, pages={996--1007}, author={Sequeira, Ana M. M. and O'Toole, Malcolm and Keates, Theresa R. and McDonnell, Laura H. and Braun, Camrin D. and Hoenner, Xavier and Jaine, Fabrice R. A. and Jonsen, Ian D. and Newman, Peggy and Davidson, Sarah C.} }
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A.</dc:creator> <dc:contributor>McDonnell, Laura H.</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43615"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53526/1/Sequeira_2-8thv6pf0nys91.pdf"/> <dc:contributor>Jaine, Fabrice R. A.</dc:contributor> <dc:language>eng</dc:language> <dc:creator>Jonsen, Ian D.</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Newman, Peggy</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-04-29T08:44:14Z</dcterms:available> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc/4.0/"/> <dcterms:abstract xml:lang="eng">1. 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.<br />2. 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.<br />3. 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.<br />4. 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.</dcterms:abstract> <dc:creator>McDonnell, Laura H.</dc:creator> <dc:creator>O'Toole, Malcolm</dc:creator> </rdf:Description> </rdf:RDF>
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