Annual Conference Session
Although much progress has been made in linked data in libraries, many hurdles still exist. One of those hurdles is the complexity of teaching and understanding linked data and its added value for libraries. Join the Library Linked Data Interest Group session for a mix of industry experts and librarians as we explore the challenges of teaching linked data.
Erin Dobias is currently the Metadata Librarian for the Google Books project. She leads projects that gather and interpret book metadata in all its forms from across the bibliographic universe, ultimately powering books.google.com and contributing to Google's Knowledge Graph. Prior to Google, Erin was a catalog librarian at the San Francisco Public Library, a rare books cataloger at the Lilly Library at Indiana University, and a library & archival assistant at the Kinsey Institute. She received her MLS from IU Bloomington.
Robert Chavez holds a PhD in Classical Studies from Indiana University. From 1994-1999 he worked in the Library Electronic Text Resource Service at Indiana University Bloomington as an electronic text specialist. From 1999-2007 Robert worked at Tufts University at the Perseus Project and the Digital Collections and Archives as a programmer, digital humanist, and institutional repository program manager. He currently works for the New England Journal of Medicine in as Senior Content Applications Architect and teaches RDF and Linked Data courses for Library Juice Academy.
Jackie Shieh is the Descriptive Data Management Librarian at the Smithsonian Libraries. Previously, she worked as the Catalog Librarian at Georgia State University Law Library, the Original Cataloger for Electronic Resources for University of Virginia Library, the Team Leader for Special Collections and Projects at the University of Michigan Library, and the Resource Description Coordinator for the George Washington University Libraries. Over the years, she has been involved in metadata projects related to the Web, e.g. TEI; OCLC's InerCat, CORC projects; ALCTS, CC:DA, PCC's task groups: URIs in MARC, BIBFRAME mapping of BIBCO and BF, Linked data best practices and Metadata Application Profiles.
ALA Unit/Subunit: ALCTS, ALCTS_CMMS, LITA
Meeting Type: Discussion Group,Interest Group
Cost: Included with full conference registration.