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JISC OpenBibliography: Wider Benefits to Sector & Achievements for Host Institution
- Bibliographic data is useful; A number of organisations such as CERN and Library of Congress have recognised that providing open access to bibliographic records and controlled vocabularies is a natural and necessary step to begin to identify errors and to avoid erroneous or divergent duplication, thereby improving the metadata accuracy. A key point from Karen Coyle is “The change that libraries will need to make in response [to user demand] must include the transformation of the library’s public catalog from a stand-alone database of bibliographic records to a highly hyperlinked data set that can interact with information resources on the World Wide Web.”
- Bibliographic data is, in general, not open or linked: this limits its usefulness to the academic community. This project will deliver bibliographic material that is truly open (as in http://opendefinition.org where the team has particular expertise). Many attempts to create LOD suffer because there are no useful resources to link to. OpenBibliography will expose Author names, Institutions and Geographical Locations with semantic targets in the LOD ecosystem (e.g. Geonames, Wikipedia); the project will put significant effort into disambiguation so that OpenBibliography can become an important node in the LOD graph.
- Processes to make it open or linked are not familiar to libraries and publishers: Much modern bibliographic data is created implicitly or explicitly by the scholarly publication process but exposed poorly or not at all. Working with cooperating publishers can rapidly transform their output to complete open semantic bibliography. By providing a clear working model for bibliographic metadata as semantic, referenceable links with a reusable workflow to gather, add provenance, refine and disambiguate existing metadata information, members of the JISC community can apply the same model and techiniques with the open-source code and services we will provide to use data from and contribute to the aforementioned ‘highly hyperlinked data set’.