Library Linked Data

Research and Adoption

Nonfiction, Reference & Language, Language Arts, Library & Information Services, Reference
Cover of the book Library Linked Data by Erik T. Mitchell, American Library Association
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Author: Erik T. Mitchell ISBN: 9780838958988
Publisher: American Library Association Publication: January 1, 2014
Imprint: ALA TechSource Language: English
Author: Erik T. Mitchell
ISBN: 9780838958988
Publisher: American Library Association
Publication: January 1, 2014
Imprint: ALA TechSource
Language: English
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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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

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