Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ...
The difficulty of identifying marine macro-invertebrates and the lack of experts, added to the growing use of complex modeling approaches based on massive datasets, has led to a reproducibility crisis in benthic ecology. Improving the reliability of identification remains a key factor to increase th...
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Online Access: | https://dx.doi.org/10.26028/cybium/2023-020 https://sfi-cybium.fr/fr/bendima-database-marine-macro-invertebrate-bycatch-data-designed-improve-reproducibility-benthic |
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ftdatacite:10.26028/cybium/2023-020 2024-09-30T14:44:05+00:00 Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... Martin, Alexis Blettery, Jonathan Dettaï, Agnès Rosset, Nicolas Gousseau, Yann 2023 https://dx.doi.org/10.26028/cybium/2023-020 https://sfi-cybium.fr/fr/bendima-database-marine-macro-invertebrate-bycatch-data-designed-improve-reproducibility-benthic unknown Cybium Benthos, Bycatch, database, DNA barcoding, Ecology, Fisheries, Image analysis, Reproducibility crisis Article DataPaper 2023 ftdatacite https://doi.org/10.26028/cybium/2023-020 2024-09-02T07:51:19Z The difficulty of identifying marine macro-invertebrates and the lack of experts, added to the growing use of complex modeling approaches based on massive datasets, has led to a reproducibility crisis in benthic ecology. Improving the reliability of identification remains a key factor to increase the quality of raw data. We developed the database Bendima to manage benthic macro-invertebrate bycatch data from the scientific survey of the French Southern Ocean and Indian Ocean fisheries. This database is structured to store observations of macro-invertebrates in the form of images of the caught organisms associated to sampling effort data and molecular data, which allows for ongoing amendments to identifications and crossreferencing with barcode data. Once uploaded and stored as digital images, the Bendima observations data underpinning models can be fully assessed, criticized and compared. Here, we describe the Bendima system and provide an overview of the contents for teams involved in biodiversity database ... Article in Journal/Newspaper Southern Ocean DataCite Southern Ocean Indian |
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topic |
Benthos, Bycatch, database, DNA barcoding, Ecology, Fisheries, Image analysis, Reproducibility crisis |
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Benthos, Bycatch, database, DNA barcoding, Ecology, Fisheries, Image analysis, Reproducibility crisis Martin, Alexis Blettery, Jonathan Dettaï, Agnès Rosset, Nicolas Gousseau, Yann Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... |
topic_facet |
Benthos, Bycatch, database, DNA barcoding, Ecology, Fisheries, Image analysis, Reproducibility crisis |
description |
The difficulty of identifying marine macro-invertebrates and the lack of experts, added to the growing use of complex modeling approaches based on massive datasets, has led to a reproducibility crisis in benthic ecology. Improving the reliability of identification remains a key factor to increase the quality of raw data. We developed the database Bendima to manage benthic macro-invertebrate bycatch data from the scientific survey of the French Southern Ocean and Indian Ocean fisheries. This database is structured to store observations of macro-invertebrates in the form of images of the caught organisms associated to sampling effort data and molecular data, which allows for ongoing amendments to identifications and crossreferencing with barcode data. Once uploaded and stored as digital images, the Bendima observations data underpinning models can be fully assessed, criticized and compared. Here, we describe the Bendima system and provide an overview of the contents for teams involved in biodiversity database ... |
format |
Article in Journal/Newspaper |
author |
Martin, Alexis Blettery, Jonathan Dettaï, Agnès Rosset, Nicolas Gousseau, Yann |
author_facet |
Martin, Alexis Blettery, Jonathan Dettaï, Agnès Rosset, Nicolas Gousseau, Yann |
author_sort |
Martin, Alexis |
title |
Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... |
title_short |
Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... |
title_full |
Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... |
title_fullStr |
Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... |
title_full_unstemmed |
Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... |
title_sort |
bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology ... |
publisher |
Cybium |
publishDate |
2023 |
url |
https://dx.doi.org/10.26028/cybium/2023-020 https://sfi-cybium.fr/fr/bendima-database-marine-macro-invertebrate-bycatch-data-designed-improve-reproducibility-benthic |
geographic |
Southern Ocean Indian |
geographic_facet |
Southern Ocean Indian |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_doi |
https://doi.org/10.26028/cybium/2023-020 |
_version_ |
1811645587310772224 |