Metadata, Third Edition

This title will be available December 2021. You may place an order and the item will be shipped when it becomes available.

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Named a 2017 CHOICE Outstanding Academic Title

Featuring new developments driven by semantic technologies and digital data and information, with an accompanying website and supplementary learning materials, this remains the definitive primer on metadata for students, instructors, faculty, and professionals at all levels of experience.

This benchmark text is back in a new edition thoroughly updated to incorporate developments and changes in metadata and related domains. Zeng and Qin provide a solid grounding in the variety and interrelationships among different metadata types, offering a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond. Readers will gain knowledge and an understanding of key topics such as

  • the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions;
  • metadata building blocks, from modeling to defining properties, from designing application profiles to implementing value vocabularies, and from specification generating to schema encoding, illustrated with new examples;
  • best practices for metadata as linked data, the new functionality brought by implementing the linked data principles, and the importance of knowledge organization systems;
  • resource metadata services, quality measurement, and interoperability approaches; 
  • research data management concepts like the FAIR principles, metadata publishing on the web and the recommendations by the W3C in 2017, related Open Science metadata standards such as Data Catalog Vocabulary (DCAT) version 2, and metadata-enabled reproducibility and replicability of research data;
  • standards used in libraries, archives, museums, and other information institutions, plus existing metadata standards’ new versions, such as the EAD 3, LIDO 1.1, MODS 3.7, DC Terms 2020 release coordinating its ISO 15396-2:2019, and’s update in responding to the pandemic; and
  • newer, trending forces that are impacting the metadata domain, including entity management, semantic enrichment for the existing metadata, mashup culture such as enhanced Wikimedia contents, knowledge graphs and related processes, semantic annotations and analysis for unstructured data, and supporting digital humanities (DH) through smart data.

A supplementary website provides additional resources, including examples, exercises, main takeaways, and editable files for educators and trainers. Examination copies are available for instructors who are interested in adopting this title for course use. An e-book edition of the text will be available shortly after the print edition is published.

Marcia Lei Zeng

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

Jian Qin is Professor at the School of Information Studies, Syracuse University. Recipent of the 2020 LITA/OCLC Kilgour Research Award, 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.

Praise for the second edition

"The second edition of this book represents much more than a serviceable update to the first edition, published in 2008. Zeng (Kent State Univ.) and Qin (Syracuse Univ.) have significantly revised their thinking about metadata construction, application, usability, and sustainability. As a result, the current edition of this seminal resource represents a radical and necessary shift to a richer, more comprehensive analysis of metadata and its uses ... A core reference work for all professionals and advanced students interested in the subject of metadata."

"This is an impressive, well-written textbook for readers studying metadata. In a field that is steadily growing and changing, readers must keep abreast of the new material that appears in this edition, and not rely solely on the previous edition to inform their thinking. It is by no means an easy transition, though the authors have tried hard to include the relevant background that puts today's ideas in context. They have succeeded in making a complex subject understandable as well as anticipating future developments."
— Technicalities

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