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Defining the target population to make marine image-based biological data FAIR
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
In: Ecological Informatics. Elsevier: Amsterdam. ISSN 1574-9541; e-ISSN 1878-0512, meer
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Trefwoord |
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Author keywords |
Data reuse; Underwater photography; Remote sensing; Environmental monitoring; Optical imaging; In-situ observation; Survey design; Quantitative ecology |
Auteurs | | Top |
- Durden, J.M.
- Schoening, T.
- Curtis, E.J.
- Downie, A.
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- Gates, A.R.
- Jones, D.O.B.
- Kokkinaki, A.
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- Simon-Lledó, E.
- Wright, D.
- Bett, B.J., meer
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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.
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