A fresh update of Zeng and Qin's definitive book on metadata
For Immediate Release
ALA Publishing & Media
American Library Association
CHICAGO — Previously named a Choice Outstanding Academic Title, the new third edition of “Metadata,” published by ALA Neal-Schuman, has been thoroughly updated to incorporate developments and changes in metadata and related domains. Marcia Lei Zeng and Jian 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. LIS students, instructors, faculty, and professionals at all levels of experience 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 Schema.org’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 later in 2022.
Zeng is Professor of Information Science at Kent State University in Kent, Ohio, where she teaches knowledge organization systems (KOS), metadata, Linked Data, and cultural heritage informatics. Her scholarly publications consist of more than 100 papers and six books, as well as over 200 national and international conference presentations, invited lectures, and keynote speeches. 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 esteemed academic and scientific foundations. Qin is Professor at the School of Information Studies, Syracuse University. Recipent of the 2020 LITA/OCLC Kilgour Research Award, her research has been funded by the Institute of Museum and Library Services, National Science Foundation, National Institute of Health/National Center for General Medical Science, Sloan Foundation/Interuniversity Consortium for Political and Social Research (ICPSR), and Online Computer Library Center (OCLC). She has published widely in scholarly journals and presented her research at numerous national and international conferences.
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