Share-VDE is an initiative lead by the community of participating libraries, with the aim of setting up linked data based workflows.
Share-VDE makes available
- enrichment of original MARC data and of the records converted in linked data with identifiers from external sources (e.g. ISNI, VIAF) and with original Share-VDE identifiers;
- reconciliation and clusterization of entities created through library data conversion;
- conversion of library catalogues from MARC to linked data;
- delivery of converted and enriched data to libraries for reuse in their systems;
- publication of library records converted in linked on the discovery platform www.share-vde.org.
The technological components underlying the Share infrastructure are orchestrated by the LOD Platform, that is a highly innovative technological framework, an integrated ecosystem for the management of bibliographic, archive and museum catalogues and their conversion to linked data, extensible as needed for specific purposes. The LOD Platform was designed with the idea of creating scalable and configurable linked data management systems and discovery interfaces able to adapt to ontologies from different library, archive and museum (LAM) domains, capable of automating the processes of creating and publishing linked open data, regardless of the data source format.
Share-VDE facilitates cataloguing and exposition of bibliographic records through a linked data based approach.
The platform www.share-vde.org enhances the discovery potential of library resources and unveils information that would otherwise have been hidden in archives → access to a rich amount of data that can be exported and re-imported by the participating institutions.
It’s an authoritative source thanks to the data enrichment with external URIs (ISNI, VIAF, Wikidata etc.) and internal ones (the URI created by Share-VDE for each entity).
Fosters the collaboration with the Linked Data for Production (LD4P) initiative and the Program for Cooperative Cataloging (PCC) for the study and application of linked data.
3 major benefits
Quality: enrichment with data from other authoritative sources.
Use: better exposition, data analysis opportunity, reuse in other projects.
Engagement: facilitate information exchange and collaboration with other communities.
