Using BIIGLE as a collaborative identification tool for fisheries captures : an example from the benthic epifauna trawl surveys of the Canadian Beaufort Sea Marine Ecosystem Assessment (2021 to 2024) /... : Fs97-6/3727E-PDF

"This report details the improvement of at-sea identification of epibenthic invertebrates collected during annual surveys of the Canadian Beaufort Sea Marine Ecosystem Assessment (CBS-MEA) through a collaborative and remote-based interregional workflow. The collaboration between DFO-Arctic and DFO-Quebec regional teams started in 2021 and, during that first year, a high rate (67 %) of at-sea identification errors was documented in the dataset. This highlighted the need to improve the approach for validating taxonomic identifications while optimizing knowledge sharing. During each survey, photos of whole trawl catches as well as each taxon collected were taken. Starting in 2022, the collaborative image annotation software BIIGLE was used in post-field work to share photos of specimens with digital labels (annotations) representing a scientific name. A taxonomic expert (DFO-Quebec) reviewed the epifauna biodiversity dataset and, if necessary, annotated the corrections directly through the photos in BIIGLE. The field team (DFO-Arctic) was then able to visually review taxonomic corrections and naming of unidentified taxa in the photos, enabling a better learning opportunity than reviewing revised taxonomic names in a spreadsheet dataset. From 2021 to 2024, the identification correction rate dropped from 67 % to 16 %. This underscores that an iterative collaboration, facilitated by usage of BIIGLE, greatly improved at-sea identification. This approach holds potential for broader application across other collaborative programs and projects related to fisheries captures within or outside DFO, demonstrating the value of taxonomic validation and use of digital tools in remote collaboration"--Abstract, page vi.

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