Metadata for Digital Collections: A How-To-Do-It Manual

Steven J. Miller

ISBN 10: 1783306165 / ISBN 13: 9781783306169

Edité par Facet Publishing, United Kingdom, London, 2022

Since it was first published, LIS students and professionals everywhere have relied on Millers 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 books 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 its 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur GOR014519020

Synopsis :

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.

À propos de l?auteur:

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.

Détails bibliographiques

Titre : Metadata for Digital Collections: A ...
Éditeur : Facet Publishing, United Kingdom, London
Date d'édition : 2022
Reliure : Paperback
Etat : Very Good
Edition : 2ème Édition