The project aims to recommend a framework for harvesting and delivering for discovery rich metadata of social science data objects for the EOSC Portal Service Catalogue. The proposed framework would allow to enrich generic descriptors of data (such as such as oai_dc, oai_datacite or oai_openaire) with relevant additional information depending on the type of the social science data object. This conditional model would allow for flexibility and comprehensiveness at the same time, as its main operating framework would be based on the most widely used generic metadata descriptors, at the same time, integrating additional elements from domain specific metadata descriptors.
Project funding:
Funded by the EU Framework Programme for Research and Innovation “Horizon 2020” (participating as a third party)
Project results:
The intended deliverables are: 1) a Blueprint of a framework for harvesting and delivering for discovery rich metadata of social science data objects for the EOSC Portal Service Catalogue, 2) a presentation and description of the developed prototype that involves servicing of metadata of social science data objects from the LiDA Dataverse repository for the portal of the LVB which performs metadata harvesting, indexing and delivering for discovery.
Period of project implementation: 2022-03-11 - 2023-09-30
Project partners: UNIVERZA V LJUBLJANI, GEANT Vereniging, Akademia Gorniczo - Hutnicza, CESSDA ERIC, European Molecular Biology Laboratory, Institut Max von Laue - Paul Langevin
