17
edits
Changes
Added Claremont Presentation Proposal
VIVO is an open-source semantic Web application that enables the discovery of research and scholarship across disciplines at an institution. Originally developed from 2003-2009 by Cornell University, in September 2009 the National Institute of Health's National Center for Research Resources made a grant to the University of Florida [http://vivo.ufl.edu], Cornell University [http://vivo.cornell.edu], Indiana University Bloomington [http://vivo.iu.edu], and four implementation partners to use VIVO to create a national network for scientists[http://www.vivoweb.org]. This network will allow researchers to discover potential collaborators with specific expertise, based on authoritative information on projects, grants, publications, affiliations, and research interests, essentially creating a social network for browsing, visualizing, and discovering scientists. This talk will give an overview of the technical underpinnings of VIVO, describe how it integrates with the larger semantic Web, sketch out the plans for enabling discovery across the national network of VIVO sites, and explore the role of libraries in implementing VIVO at all the partner sites. Additionally we will demonstrate some experiments in federated searching that have been undertaken by the VIVO network and the NIH funded Clinical and Translational Science Awards (CTSA) consortium network of networks.
== Mass Moves with Worldcat APIs ==
* Sam Kome, Claremont Colleges Library, sam.kome at cuc dot claremont dot edu
Claremont needed to perform a mass evaluation of item level records to facilitate large scale collection moves and de-accession. Our de-accession criteria, for example, include that 3 or more copies of any book must be available in the 50+ libraries in our Link+ network. We addressed our requirements with the help of the OCLC Worldcat Search and xID APIs and a couple simple python scripts. The process was ultimately a success. We will present our approach, code, and the lessons learned as we discovered limits inherent in the APIs and in our own coding (in)experience. Bonus sub-topic: the use of OCLC Work ID to identify and coalesce alternative ISBNs.
