Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (0): add | show Print this page

Best practices and recommendations for plankton imaging data management: ensuring effective data flow towards international data infrastructures
Martin-Cabrera, P.; Perez Perez, R.; Irisson, J.-O.; Lombard, F.; Möller, K.O.; Rühl, S.; Creach, V.; Lindh, M.; Stemmann, L.; Schepers, L. (2022). Best practices and recommendations for plankton imaging data management: ensuring effective data flow towards international data infrastructures. Version 1. Flanders Marine Institute: Ostend. 31 pp. https://dx.doi.org/10.25607/OBP-1742
Cover

Available in  Authors 

Keyword
    Marine/Coastal

Authors  Top 
  • Martin-Cabrera, P., more
  • Perez Perez, R., more
  • Irisson, J.-O.
  • Lombard, F.
  • Möller, K.O.
  • Rühl, S.
  • Creach, V.
  • Lindh, M.
  • Stemmann, L.
  • Schepers, L., more

Abstract
    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, enriching these databases with this valuable data.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors