Best practices and recommendations for plankton imaging data management: Ensuring effective data flow towards European data infrastructures

Loading...
Thumbnail Image

Corporate Authors

Flanders Marine Institute
Institut de la Mer de Villefranche
Sorbonne University
Centre for Environment, Fisheries and Aquaculture Science, Burnham Laboratory
Helmholtz-Zentrum Hereon GmbH
Swedish Meteorological and Hydrological Institute

Publication date

2022

Publisher

Flanders Marine Institute

Journal

Spatial Coverage

Geographical Scope

European

Sea Region

Mediterranean Sea
Baltic Sea
Bay of Biscay
Northeast Atlantic Ocean (40W)
North Sea
Black Sea
Celtic Sea
Barents Sea
Norwegian Sea
Kattegat
Skagerrak
Irish Sea
English Channel

Categories

Categories

biota

Discipline

Parameter discipline

Marine Biodiversity

Instruments and Platforms

Instrument

flow cytometers

Platform

research vessel
land/onshore structure

Methods Status

Maturity Level

Level 4: Better Practice - Developed and Adopted

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.

Description

Keywords

DOI

License

CC-BY 4.0CC-BY 4.0

Citation

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-1742

Variables

Applications

MSFD

Descriptor 1: Marine Biodiversity

MSP

Biodiversity and Conservation
Scientific Research and Monitoring

GOOS Application

Biodiversity analysis and assessment
Operational ocean data and forecasting
Hazard response/early warning systems
Sustainable management and food security

GOOS EOV Phenomena

Ocean Obs Societal Need

Climate
Ocean health
Operational needs

Sustainable Development Goals

Goal 14. Conserve and sustainably use the oceans, seas and marine resources for sustainable development
Goal 14. Conserve and sustainably use the oceans, seas and marine resources for sustainable development::14.a Increase scientific knowledge, develop research capacity and transfer marine technology, taking into account the Intergovernmental Oceanographic Commission Criteria and Guidelines on the Transfer of Marine Technology, in order to improve ocean health and to enhance the contribution of marine biodiversity to the development of developing countries, in particular small island developing States and least developed countries

Endorsement

Review

Supplemented By

Referenced By

Original URI