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--This message has been cross-posted. Please forgive the duplication.--

The LITA/ALCTS Linked Library Data Interest Group invites you to a presentation at the 2015 ALA Annual Conference, San Francisco, California, on Saturday, June 27, 2015, 8:30am-10am, at the Marriott Marquis San Francisco Golden Gate A. Add this session to your calendar: http://alaac15.ala.org/node/29313

There will be two presentations at this session:

Linked Data Love: research representation, discovery, and assessment

Kristi Holmes, PhD
Director, Galter Health Sciences Library
Associate Director of Evaluation, NUCATS
Associate Professor, Preventive Medicine-Health and Biomedical Informatics
Northwestern University Feinberg School of Medicine


The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities.

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VIVO and BIBFRAME: Understanding People through Linked Data

Steven Folsom

Discovery Metadata Librarian

Cornell University Library


Linked Data for Libraries (LD4L) is a collaboration of the Cornell University Library, the Harvard Library Innovation Lab, and the Stanford University Libraries, and is funded by the Andrew W. Mellon Foundation. The project attempts to illustrate the value of linked data through a number of use cases; the focus of LD4L Use Case 2 is to “See and search on Works by people to discover more works and better understand people”. To this end, LD4L has experimented with connecting university faculty profiling systems with library data about the intellectual output of the university. This presentation will describe a pilot to preprocess MARC records for Cornell theses for conversion to BIBFRAME with VIVO URIs, ultimately providing greater context to student theses and more fully reflecting faculty service to the university.

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Sarah Quimby
Library Processing Manager
Minnesota Historical Society
651-259-3370
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