Metadata for Digital Collections (How-To-Do-It Manuals)

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Metadata for Digital Collections (How-To-Do-It Manuals) image
ISBN-10:

0838947484

ISBN-13:

9780838947487

Edition: Second
Released: Jul 06, 2022
Publisher: ALA Neal-Schuman
Format: Paperback, 536 pages

Description:

Product Description
Since it was first published, LIS students and professionals everywhere have relied on Miller's authoritative manual for clear instruction on the real-world practice of metadata design and creation. Now the author has given his text a top to bottom overhaul to bring it fully up to date, making it even easier for readers to acquire the knowledge and skills they need, whether they use the book on the job or in a classroom. By following this book’s guidance, with its inclusion of numerous practical examples that clarify common application issues and challenges, readers will\nlearn about the concept of metadata and its functions for digital collections, why it’s essential to approach metadata specifically as data for machine processing, and how metadata can work in the rapidly developing Linked Data environment;
know how to create high-quality resource descriptions using widely shared metadata standards, vocabularies, and elements commonly needed for digital collections;
become thoroughly familiarized with Dublin Core (DC) through exploration of DCMI Metadata Terms, CONTENTdm best practices, and DC as Linked Data;
discover what Linked Data is, how it is expressed in the Resource Description Framework (RDF), and how it works in relation to specific semantic models (typically called "ontologies") such as BIBFRAME, comprised of properties and classes with “domain” and “range” specifications;
get to know the MODS and VRA Core metadata schemes, along with recent developments related to their use in a Linked Data setting;
understand the nuts and bolts of designing and documenting a metadata scheme; and
gain knowledge of vital metadata interoperability and quality issues, including how to identify and clean inconsistent, missing, and messy metadata using innovative tools such as OpenRefine.\nComplete with an updated bibliography pointing readers to essential books, articles, and web documents for deeper learning, in its new second edition this volume cements its relevance to current practitioners and students.\nAbout the Author
Steven Jack Miller currently teaches continuing education courses on linked data and metadata for working professionals. In the past he taught MLIS courses on information and knowledge organization, metadata, taxonomies, cataloging, information architecture, and linked data. He wrote a textbook on Metadata for Digital Collections published in 2011, has given numerous conference presentations, and has developed workshop materials published by the Library of Congress and OCLC. He has served on committees and held leadership positions in several national-level professional organizations. In retirement he enjoys reading, language study, especially classical Greek language and literature, drawing, bicycling, travel, movies, and performing arts, especially Wagnerian opera.

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