Work

Workflows for marine metadata and data management

Year: 2024

Type: article

Abstract: Data managers regularly face the need to manually replicate the same sequence of steps to ensure (meta)data edition, update and publication in different infrastructures. For example fisheries datasets are often time series of spatial catches with biological observations and, as such, can be disseminated in spatial data infrastructures but are also valuable species occurrences for biodiversity research which can ultimately be assigned a DOI in various data repositories (eg GBIF, Zenodo, Pangaea…). Obviously, with the increasing volume of data management tasks, there is no reason to waste time by manually editing the same metadata elements (eg Title, abstract, spatial or temporal extent..) in different infrastructures complying with different standards. Multiple tasks can indeed be automated through APIs and orchestrated as steps of workflows which can be fed by various sources.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14198689

Authors: Barde, Julien, Grasset, Bastien, Blondel, Emmanuel

Institutions: Marine Biodiversity Exploitation and Conservation, Institut de Recherche pour le Développement, Food and Agriculture Organization of the United Nations

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Awards: Blue-Cloud: Piloting innovative services for Marine Research & the Blue Economy, A federated European FAIR and Open Research Ecosystem for oceans, seas, coastal and inland waters