Defining the target population to make marine image-based biological data FAIR

Durden, Jennifer M. ORCID: https://orcid.org/0000-0002-6529-9109; Schoening, Timm; Curtis, Emma J.; Downie, Anna; Gates, Andrew R. ORCID: https://orcid.org/0000-0002-2798-5044; Jones, Daniel O.B. ORCID: https://orcid.org/0000-0001-5218-1649; Kokkinaki, Alexandra; Simon-Lledó, Erik ORCID: https://orcid.org/0000-0001-9667-2917; Wright, Danielle; Bett, Brian J. ORCID: https://orcid.org/0000-0003-4977-9361. 2024 Defining the target population to make marine image-based biological data FAIR. Ecological Informatics, 80, 102526. https://doi.org/10.1016/j.ecoinf.2024.102526

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Official URL: http://dx.doi.org/10.1016/j.ecoinf.2024.102526

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.ecoinf.2024.102526
ISSN:	15749541
Date made live:	21 Feb 2024 11:36 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536953

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.ecoinf.2024.102526

ISSN:

15749541

Date made live:

21 Feb 2024 11:36 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/536953