Steven J. 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.
- About the Author
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, in its new second edition this volume cements its relevance to current practitioners and students.
Examination copies are available for instructors who are interested in adopting this title for course use.
Praise for the first edition
"Metadata for Digital Collections is an extremely useful book for everyone currently or potentially involved in the creation of metadata: those with little to no experience in using non-MARC metadata, who either need to do so now or who would simply like to remain current with developments in the field; those who need a ready-reference work for a particular metadata scheme; and students of cataloging and metadata."
— College & Research Libraries