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Library Linked Data: Research and Adoption

 

Computers increasingly collect, manage, and analyze data for scholarly research. Linked data gives libraries the ability to support this e-research, making it a powerful tool. Libraries are at a tipping point in adoption of linked data, and this issue of Library Technology Reports explores current research in linked open data, explaining concepts and pioneering services, such as

  • Five building blocks of metadata—data model, content rules, metadata schema, data serialization, and data exchange
  • Three case studies—Europeana, Digital Public Library of America, and BIBFRAME
  • How libraries, archives and museums are currently addressing such issues as metadata quality, open data and business models, cross community engagement, and implementation

Erik T. Mitchell is the associate university librarian for digital initiatives and collaborative services at the University of California, Berkeley. In addition to studying information technology adoption and use in libraries, he examines metadata issues and professional development in library and information science. Before joining the University of California, Berkeley, he was an assistant professor at the College of Information Studies at the University of Maryland (2011-2013), and served as the assistant director for technology services in the Z. Smith Reynolds Library at Wake Forest University (1999-2011). A columnist for the Journal of Web Librarianship as well as Technical Services Quarterly, he is also the author of the book Cloud-Based Services for Your Library: A LITA Guide, and has published and presented widely on library IT, metadata use, and pedagogical approaches.

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