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

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posted on 2023-05-21, 12:50 authored by Sequeira, AMM, O'Toole, M, Keates, TR, McDonnell, LH, Braun, CD, Hoenner, X, Jaine, FRA, Jonsen, ID, Newman, P, Pye, J, Bograd, SJ, Hays, GC, Hazen, EL, Holland, M, Tsontos, VM, Blight, C, Cagnacci, F, Davidson, SC, Dettki, H, Duarte, CM, Dunn, DC, Eguiluz, VM, Fedak, M, Gleiss, AC, Hammerschlag, N, Mark HindellMark Hindell, Holland, K, Janekovic, I, McKinzie, MK, Muelbert, MMC, Pattiaratchi, C, Rutz, C, Sims, DW, Simmons, SE, Townsend, B, Whoriskey, F, Woodward, B, Costa, DP, Michelle HeupelMichelle Heupel, Clive McMahonClive McMahon, Harcourt, R, Weise, M

  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.
  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.

History

Publication title

Methods in Ecology and Evolution

Volume

12

Issue

6

Pagination

996-1007

ISSN

2041-210X

Department/School

Institute for Marine and Antarctic Studies

Publisher

Wiley-Blackwell Publishing Ltd.

Place of publication

United Kingdom

Rights statement

Copyright 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License. https://creativecommons.org/licenses/by-nc/4.0/

Repository Status

  • Open

Socio-economic Objectives

Expanding knowledge in the biological sciences

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