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dc.contributor.authorMartin-Cabrera, Patricia
dc.contributor.authorPerez Perez, Ruben
dc.contributor.authorIrisson, Jean-Olivier
dc.contributor.authorLombard, Fabien
dc.contributor.authorMöller, Klas Ove
dc.contributor.authorRühl, Saskia
dc.contributor.authorCreach, Veronique
dc.contributor.authorLindh, Markus
dc.contributor.authorStemmann, Lars
dc.contributor.authorSchepers, Lennert
dc.contributor.editorMartin-Cabrera, Patricia
dc.coverage.spatialGlobalen_US
dc.date.accessioned2022-04-10T18:17:10Z
dc.date.available2022-04-10T18:17:10Z
dc.date.issued2022
dc.identifier.citationMartin-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-1742en_US
dc.identifier.otherJERICO-S3-W6-D6.4.-07042022-V1;
dc.identifier.urihttps://repository.oceanbestpractices.org/handle/11329/1917
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-1742
dc.description.abstractThe 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, enriching these databases with this valuable data.en_US
dc.description.sponsorshipEuropean Union; JERICO-S3 project, WP6- D6.4, funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 871153.en_US
dc.language.isoenen_US
dc.publisherFlanders Marine Instituteen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherPlankton imaging instrumentsen_US
dc.subject.otherEurOBISen_US
dc.subject.otherDarwin Coreen_US
dc.subject.otherEMODnet Biologyen_US
dc.subject.otherOBISen_US
dc.subject.otherGBIFen_US
dc.subject.otherOBIS-ENV-DATAen_US
dc.titleBest practices and recommendations for plankton imaging data management: Ensuring effective data flow towards European data infrastructures. Version 1.en_US
dc.typeReporten_US
dc.description.statusPublisheden_US
dc.format.pages31pp.en_US
dc.description.notesAlso published as JERICO Deliverable JERICO-S3 D6.4-WP6 -Best practices & recommendations for plankton imaging data management, JERICO-S3-WP6-D6.4-07.04.2022-V1.0en_US
dc.description.refereedRefereeden_US
dc.publisher.placeOstend, Belgiumen_US
dc.subject.parameterDisciplinePhytoplanktonen_US
dc.subject.parameterDisciplineZooplanktonen_US
dc.subject.dmProcessesData processingen_US
dc.subject.dmProcessesData quality managementen_US
dc.description.currentstatusCurrenten_US
dc.date.review2022-10
dc.description.sdg14.aen_US
dc.description.eovPhytoplankton biomass and diversityen_US
dc.description.eovZooplankton biomass and diversityen_US
dc.description.maturitylevelPilot or Demonstrateden_US
dc.description.adoptionNovel (no adoption outside originators)en_US
dc.description.ebvSpecies distributionsen_US
dc.description.ebvSpecies abundancesen_US
dc.description.ebvSpecies morphologyen_US
dc.description.ebvTaxonomic/phylogenetic diversityen_US
dc.description.ebvCommunity abundanceen_US
dc.description.ecvPlanktonen_US
dc.description.sensorsIn-situ plankton imaging instrumentsen_US
dc.description.sensorsBenchtop plankton imaging instrumentsen_US
dc.description.methodologyTypeReports with methodological relevanceen_US
obps.contact.contactemailpatricia.cabrera@vliz.be
obps.contact.contactorcid000-0003-3293-5612


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International