Home About Browse Search
Svenska


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

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 Pye, Jonathan and Bograd, Steven J. and Hays, Graeme C. and Hazen, Elliott L. and Holland, Melinda and Tsontos, Vardis M. and Blight, Clint and Cagnacci, Francesca and Davidson, Sarah C. and Dettki, Holger and Duarte, Carlos M. and Dunn, Daniel C. and Eguiluz, Victor M. and Fedak, Michael and Gleiss, Adrian C. and Hammerschlag, Neil and Hindell, Mark A. and Holland, Kim and Janekovic, Ivica and McKinzie, Megan K. and Muelbert, Monica M. C. and Pattiaratchi, Chari and Rutz, Christian and Sims, David W. and Simmons, Samantha E. and Townsend, Brendal and Whoriskey, Frederick and Woodward, Bill and Costa, Daniel P. and Heupel, Michelle R. and McMahon, Clive R. and Harcourt, Rob and Weise, Michael (2021). A standardisation framework for bio-logging data to advance ecological research and conservation. Methods in Ecology and Evolution. 12 , 996-1007
[Research article]

[img] PDF
1MB

Abstract

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.

Authors/Creators: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 Pye, Jonathan and Bograd, Steven J. and Hays, Graeme C. and Hazen, Elliott L. and Holland, Melinda and Tsontos, Vardis M. and Blight, Clint and Cagnacci, Francesca and Davidson, Sarah C. and Dettki, Holger and Duarte, Carlos M. and Dunn, Daniel C. and Eguiluz, Victor M. and Fedak, Michael and Gleiss, Adrian C. and Hammerschlag, Neil and Hindell, Mark A. and Holland, Kim and Janekovic, Ivica and McKinzie, Megan K. and Muelbert, Monica M. C. and Pattiaratchi, Chari and Rutz, Christian and Sims, David W. and Simmons, Samantha E. and Townsend, Brendal and Whoriskey, Frederick and Woodward, Bill and Costa, Daniel P. and Heupel, Michelle R. and McMahon, Clive R. and Harcourt, Rob and Weise, Michael
Title:A standardisation framework for bio-logging data to advance ecological research and conservation
Series Name/Journal:Methods in Ecology and Evolution
Year of publishing :2021
Volume:12
Page range:996-1007
Number of Pages:12
Publisher:WILEY
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
Keywords:bio‐logging template, data accessibility and interoperability, data standards, metadata templates, movement ecology, sensors, telemetry, tracking
URN:NBN:urn:nbn:se:slu:epsilon-p-111647
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-111647
Additional ID:
Type of IDID
DOI10.1111/2041-210X.13593
Web of Science (WoS)000635644300001
ID Code:25506
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Swedish Species Information Centre
Deposited By: SLUpub Connector
Deposited On:27 Sep 2021 09:25
Metadata Last Modified:27 Sep 2021 09:31

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits