Getaneh Alemu 
Future of Enriched, Linked, Open and Filtered Metadata [PDF ebook] 
Making Sense of IFLA LRM, RDA, Linked Data and BIBFRAME

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Hoes van Getaneh Alemu: Future of Enriched, Linked, Open and Filtered Metadata (PDF)

The Future of Enriched, Linked, Open and Filtered Metadata is a comprehensive and accessible guide to creating accurate, consistent, complete, user-centred and quality metadata that supports the user tasks of finding, identifying, selecting, obtaining and exploring information resources. Based on the author’s many years of academic research and work as a cataloguing and metadata librarian, it shows readers how they can configure, create, enhance and enrich their metadata for print and digital resources. The book applies examples using MARC21, RDA, FRBR, BIBFRAME, subject headings and name authorities. It also uses screenshots from cutting edge library management systems, discovery interfaces and metadata tools. Coverage includes: definitions, discussions, and comparisons among MARC, FRBR, LRM, RDA, Linked Data and BIBFRAME standards and models discussion of the underlying principles and protocols of Linked Data vis-a-vis library metadata practical metadata configuration, creation, management, and cases employing cutting edge LMS, discovery interfaces, formats and tools discussion around why metadata needs to be enriched, linked, open and filtered to ensure the information resources described are discoverable and user friendly consideration of metadata as a growing and continuously enhancing, customer-focused and user-driven practice where the aim is to support users to find and retrieve relevant resources for their research and learning. This practical book uses simple and accessible language to make sense of the many existing and emerging metadata standards, models and approaches. It will be a valuable resource for anyone involved in metadata creation, management and utilisation as well as a reference for LIS students, especially those undertaking information organisation, cataloguing and metadata modules.

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Taal Engels ● Formaat PDF ● ISBN 9781783304943 ● Uitgeverij Facet Publishing ● Gepubliceerd 2022 ● Downloadbare 3 keer ● Valuta EUR ● ID 8301328 ● Kopieerbeveiliging Adobe DRM
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