Best practices and recommendations for plankton imaging data management: Ensuring effective data flow towards European data infrastructures. Version 1.
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Date
2022Author
Martin-Cabrera, Patricia
Perez Perez, Ruben
Irisson, Jean-Olivier
Lombard, Fabien
Möller, Klas Ove
Rühl, Saskia
Creach, Veronique
Lindh, Markus
Stemmann, Lars
Schepers, Lennert
Editor
Martin-Cabrera, Patricia
Status
PublishedPages
31pp.
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Show full item recordAbstract
The best practices and recommendations for plankton imaging data management enable users to report a detailed taxonomic characterisation of plankton observations as well as quantitative information that is useful for ecological studies. This format allows biodiversity data portals to extend their scope beyond species occurrence data. Furthermore, proposing the use of more Darwin Core fields in this format, users now have the possibility to publish manually validated datasets, but also datasets produced by fully automated plankton identification workflows. The proposed data and file formats are simple and both human- and machine-readable to automatise workflows. This format will allow data generators to submit enriched plankton imaging datasets to the international biodiversity data portals, (Eur)OBIS and EMODnet Biology. We encourage plankton imaging data generators to implement these workflows into their pipelines, to share their data with the international data portals easily, enrich.....
Publisher
Flanders Marine InstituteOstend, Belgium
Document Language
enSustainable Development Goals (SDG)
14.aEssential Ocean Variables (EOV)
Phytoplankton biomass and diversityZooplankton biomass and diversity
Maturity Level
Pilot or DemonstratedSpatial Coverage
GlobalCitation
Martin-Cabrera, P., Perez Perez ,R., Irisson, J-O., Lombard, F., Möller, K.O., Rühl, S., Creach, V., Lindh, M., Stemmann, L. and Schepers, L. (2022) Best practices and recommendations for plankton imaging data management: Ensuring effective data flow towards European data infrastructures. Ostend, Belgium, Flanders Marine Institute, 31pp. DOI: http://dx.doi.org/10.25607/OBP-1742Collections
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