Document of bibliographic reference 362403

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses
Abstract
Video and image data are regularly used in the field of benthic ecology to document biodiversity. However, their use is subject to a number of challenges, principally the identification of taxa within the images without associated physical specimens. The challenge of applying traditional taxonomic keys to the identification of fauna from images has led to the development of personal, group, or institution level reference image catalogues of operational taxonomic units (OTUs) or morphospecies. Lack of standardisation among these reference catalogues has led to problems with observer bias and the inability to combine datasets across studies. In addition, lack of a common reference standard is stifling efforts in the application of artificial intelligence to taxon identification. Using the North Atlantic deep sea as a case study, we propose a database structure to facilitate standardisation of morphospecies image catalogues between research groups and support future use in multiple front-end applications. We also propose a framework for coordination of international efforts to develop reference guides for the identification of marine species from images. The proposed structure maps to the Darwin Core standard to allow integration with existing databases. We suggest a management framework where high-level taxonomic groups are curated by a regional team, consisting of both end users and taxonomic experts. We identify a mechanism by which overall quality of data within a common reference guide could be raised over the next decade. Finally, we discuss the role of a common reference standard in advancing marine ecology and supporting sustainable use of this ecosystem.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000515096600003
Bibliographic citation
Howell, K.L.; Davies, J.S.; Allcock, A.L.; Braga-Henriques, A.; Buhl-Mortensen, P.; Carreiro-Silva, M.; Dominguez-Carrió, C.; Durden, J.M.; Foster, N.L.; Game, C.A.; Hitchin, B.; Horton, T.; Hosking, B.; Jones, D.O.B.; Mah, C.; Laguionie-Marchais, C.; Menot, L.; Morato, T.; Pearman, T.R.R.; Piechaud, N.; Ross, R.E.; Ruhl, H.A.; Saeedi, H.; Stefanoudis, P.V.; Taranto, G.H.; Thompson, M.B.; Taylor, J.R.; Tyler, P.; Vad, J.; Victorero, L.; Vieira, R.P.; Woodall, L.C.; Xavier, J.R.; Wagner, D. (2019). A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses. PLoS One 14(12): e0218904. https://dx.doi.org/10.1371/journal.pone.0218904
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Kerry Howell
author
Name
Jaime Davies
author
Name
A. Louise Allcock
author
Name
Andreia Braga-Henriques
author
Name
Pål Buhl-Mortensen
Identifier
https://orcid.org/0000-0003-4795-3143
author
Name
Marina Carreiro-Silva
author
Name
Carlos Dominguez-Carrió
author
Name
Jennifer Durden
author
Name
Nicola Foster
author
Name
Chloe Game
author
Name
Becky Hitchin
author
Name
Tammy Horton
Identifier
https://orcid.org/0000-0003-4250-1068
author
Name
Brett Hosking
author
Name
Daniel Jones
author
Name
Christopher Mah
author
Name
Claire Laguionie-Marchais
author
Name
Lenaick Menot
author
Name
Telmo Morato
author
Name
Tabitha Pearman
author
Name
Nils Piechaud
author
Name
Rebecca Ross
author
Name
Henry Ruhl
author
Name
Hanieh Saeedi
author
Name
Paris Stefanoudis
author
Name
Gerald Taranto
author
Name
Michael Thompson
author
Name
James Taylor
author
Name
Paul Tyler
author
Name
Johanne Vad
author
Name
Lissette Victorero
author
Name
Rui Vieira
author
Name
Lucy Woodall
author
Name
Joana Xavier
author
Name
Daniel Wagner

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1371/journal.pone.0218904

Document metadata

date created
2023-03-21
date modified
2023-03-21