Synopsis
Metadata remains the solution for describing the explosively growing, complex world of digital information, and continues to be of paramount importance for information professionals. Providing a solid grounding in the variety and interrelationships among different metadata types, Zeng and Qin's thorough revision of their benchmark text offers a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond, as well as the contexts in which they operate. Cementing its value as both an LIS text and a handy reference for professionals already in the field, this book
- Lays out the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions
- Surveys metadata standards and their applications in distinct domains and for various communities of metadata practice
- Examines metadata building blocks, from modeling to defining properties, and from designing application profiles to implementing value vocabularies
- Describes important concepts as resource identification, metadata as linked data, consumption of metadata, interoperability, and quality measurement
- Offers an updated glossary to help readers navigate metadata s complex terms in easy-to-understand definitions
An online resource of web extras, packed with exercises, quizzes, and links to additional materials, completes this definitive primer on metadata.
About the Author
Marcia Lei Zeng is Professor of Library and Information Science at Kent State University in Kent, Ohio, where she teaches knowledge organization systems (KOS), metadata, and cultural heritage informatics. She holds a PhD from the School of Information Sciences at the University of Pittsburgh and an MA from Wuhan University in China. Her major research interests include KOS, Linked Data, metadata and markup languages, smart data and big data, database quality control, semantic technologies, and digital humanities. Her scholarly publications consist of more than 80 papers and five books, as well as over 200 national and international conference presentations and invited lectures. Her research projects have received funding from the National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), OCLC, Ohio Board of Regents, Fulbright, and other foundations. Dr. Zeng has chaired or served on committees, working groups, and executive boards for the International Federation of Library Associations and Institutions (IFLA), Special Libraries Association (SLA), Association for Information Science and Technology (ASIS&T), the US National Information Standards Organization (NISO), the International Organization for Standardization (ISO), Dublin Core Metadata Initiative (DCMI), International Society for Knowledge Organization (ISKO), and the World Wide Web Consortium (W3C). Jian Qin is Professor at the School of Information Studies, Syracuse University. Her research interest areas include metadata, knowledge modeling and organization, ontologies, and scientific communication. She has published more than 60 papers and has given presentations at numerous national and international conferences and workshops. Her research has been funded by the National Science Foundation, Institute of Museum and Library Services (IMLS), OCLC Online Library Computer Center, and Institute for Scientific Information (ISI). She teaches information organization, metadata, and fundamentals of digital data. Dr. Qin is currently a coleader for the DCMI Community for Science and Metadata (DC-SAM) and serves as a member on the DCMI Advisory Board, as well as a member of the editorial board for two international journals. Dr. Qin holds a PhD degree from the University of Illinois at Urbana-Champaign and an MLIS from the University of Western Ontario.
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