The implementation of BIBFRAME in active cataloguing workflows and linked data exchange environments is live and it’s evolving across several paths that are often intertwined. This complex bibliographic ecosystem consists of many experiences that the speakers will present highlighting their value both as autonomous endeavours, as well as from the perspective of interaction and options for mutual integration.
The Library of Congress, with the BIBFRAME original cataloguing editor, Marva, will report about developments and achievements for bringing BIBFRAME into practice in a very large library environment with many cataloguing workflows for diverse types of resources, encompassing the use of and adjustments to the BIBFRAME ontology and its modelling.
On the topic of original and copy cataloguing in linked data, Stanford and Cornell Universities are working to achieve a dynamic form of cataloguing through the implementation of Sinopia editor and enrichment tools such as the Questioning Authority that queries authoritative sources to support linked data authorities.
Regarding the impact of linked data processes on the user experience, the University of Pennsylvania has contributed a study describing the functionalities and scenarios which the Share-VDE 2.0 entity discovery system https://www.svde.org addresses, and the ways in which user feedback is supporting the evolution of linked data discovery.
Share-VDE (SVDE) is an international library-driven initiative which brings together the bibliographic catalogues and authority files of a community of libraries in an innovative entity discovery environment based on linked data. A path towards the integration of SVDE with the local library services at the University of Pennsylvania and with the Sinopia environment is ongoing. Being a linked open data node, SVDE supports various levels of interoperability and also provides additional tools like the J.Cricket entity editor based on BIBFRAME that opens up new forms of cooperation among libraries to manage and maintain linked data entities.
