Metadata for Digital Collections [Ed. 2]

A How-To-Do-It Manual

Steven J. Miller

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Paperback

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English

Facet Publishing
28 July 2022

Automation of library & information processes; Bibliographic & subject control; Storage, maintenance & preservation of collections

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:

learn 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.

Complete with an updated bibliography pointing readers to essential books, articles and web documents for deeper learning, this second edition will prove itself a must-have reference for practitioners and students alike.

By: Steven J. Miller
Imprint: Facet Publishing
Country of Publication: United Kingdom
Edition: Second Edition
Dimensions: Height: 279mm, Width: 216mm,
ISBN: 9781783306169
ISBN 10: 1783306165
Pages: 544
Publication Date: 28 July 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Chapter 1. Introduction to Metadata for Digital Collections Chapter 2. Introduction to Resource Description Chapter 3. Dublin Core Metadata Chapter 4. Resource Description: Identification and Responsibility Chapter 5. Resource Description: Content and Relationships Chapter 6. Controlled Vocabularies for Improved Resource Discovery Chapter 7. XML-Encoded Metadata Chapter 8. MODS: The Metadata Object Description Schema Chapter 9. VRA Core: The Visual Resources Association Core Categories Chapter 10. Metadata Interoperability, Shareability, and Quality Chapter 11: Linked Data and Ontologies Chapter 12. Metadata Application Profile Design Appendix: Dublin Core, MODS, and VRA Element Mappings Glossary Acronym Glossary Bibliography

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 is author of Metadata for Digital Collections (2011). He has given numerous conference presentations and has developed workshop materials published by the Library of Congress and OCLC. Steven 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.