Document of bibliographic reference 383136

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Defining the target population to make marine image-based biological data FAIR
Abstract

Marine imaging studies have unique constraints on the data collected requiring a tool for defining the biological scope to facilitate data discovery, quality evaluation, sharing and reuse. Defining the ‘target population’ is way of scoping biological sampling or observations by setting the pool of organisms to be observed or sampled. It is used in survey design and planning, to determine statistical inference, and is critical for data interpretation and reuse (both images and derived data). We designed a set of attributes for defining and recording the target population in biological studies using marine photography, incorporating ecological and environmental delineation and marine imaging method constraints. We describe how this definition may be altered and recorded at different phases of a project. The set of attributes records the definition of the target population in a structured metadata format to enhance data FAIRness. It is designed as an extension to the image FAIR Digital Objects metadata standard, and we map terms to other biological data standards where possible. This set of attributes serves a need to update ecological metadata to align with new remotely-sensed data, and can be applied to other remotely-sensed ecological image data.

Bibliographic citation
Durden, J.M.; Schoening, T.; Curtis, E.J.; Downie, A.; Gates, A.R.; Jones, D.O.B.; Kokkinaki, A.; Simon-Lledó, E.; Wright, D.; Bett, B.J. (2024). Defining the target population to make marine image-based biological data FAIR. Ecological Informatics 80: 102526. https://dx.doi.org/10.1016/j.ecoinf.2024.102526
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Jennifer Durden
author
Name
Timm Schoening
author
Name
Emma Curtis
author
Name
Anna Downie
author
Name
Andrew Gates
author
Name
Daniel Jones
author
Name
Alexandra Kokkinaki
author
Name
Erik Simon-Lledó
author
Name
Danielle Wright
author
Name
Brian Bett

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.ecoinf.2024.102526

Document metadata

date created
2024-02-19
date modified
2024-04-02