Invited Talk : Global (Meta)data Standards
- Long title
- Development Status and Trends of Global (Meta)data Standards — A Report on New & Notable Efforts in the 2020s
- Starts at
- Tue, Oct 22, 2024, 10:30 EDT
- Finishes at
- Tue, Oct 22, 2024, 11:00 EDT
- Venue
- Room A
- Moderator
- Jian Qin
Development Status and Trends of Global (Meta)data Standards — A Report on New & Notable Efforts in the 2020s
This presentation aims to update the DCMI community and information professionals about the important standards, specifications, and best practice guidelines developed or initiated by ISO, W3C, professional associations, and other communities globally in the 2020s. In addition to those commonly used in data and information professions, this report will include standards from special domains such as climate and forecast metadata.
The report will focus on several recent significant standardization efforts related to (meta)data, covering data, metadata, and related data services. It will address the accessibility, quality, and trustworthiness of (meta)data, particularly in the new era of artificial intelligence (AI). The presentation will also ensure the comprehension, processability, discoverability, reuse potential, effectiveness, linkability, and interoperability of (meta)data.
The report will focus on several recent significant standardization efforts related to (meta)data, covering data, metadata, and related data services. It will address the accessibility, quality, and trustworthiness of (meta)data, particularly in the new era of artificial intelligence (AI). The presentation will also ensure the comprehension, processability, discoverability, reuse potential, effectiveness, linkability, and interoperability of (meta)data.
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Marcia Lei Zeng
Kent State University
Marcia Lei Zeng is a Professor of Information Science at Kent State University (USA). Her primary research interests include knowledge organization systems, linked data, metadata, smart data and big data, semantic technologies, and digital humanities. She has authored over 100 research papers and six books. Her research projects have received funding from the NSF, IMLS, OCLC, Fulbright, and other organizations. She has chaired and served on committees, working groups, and executive boards including IFLA, SLA, ASIS&T, NISO, ISO, DCMI, ISKO, iSchools, and W3C. Currently, she is chairing the DCMI Education Committee, while serving as a member of the DCMI Governing Board and ISKO Board of Directors.
Moderator
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Jian Qin
Syracuse University
Jian Qin is Professor of the iSchool at Syracuse University. She conducts research in metadata, knowledge modeling and representation, ontologies, research collaboration networks, research impact assessment, and data curation. Jian Qin directs a Metadata Lab, a research group focusing on big metadata analytics and knowledge modeling. Her research has received funding from US NSF, NIH, IMLS, among others. She publishes widely with more than 100 journal and conference papers in the field of information science, scientometrics, knowledge organization, and metadata and been invited to give keynotes, lectures, and presentations at conferences and institutions inside and outside of the U.S. She is the co-author of the book Metadata and co-editor for several special journal issues on knowledge discovery in databases and knowledge representation. Jian Qin has served as the DCMI conference program chair and track chair and as the member/chair of numerous other conference program committees, including ASIST, iConference, JCDL, among others. She received the 2020 Frederick G. Kilgour Award for Research in Library and Information Technology. Jian Qin holds a Ph.D. from University of Illinois at Urbana-Champaign. Further information can be found at https://ischool.syr.edu/jian-qin/. A complete copy of CV can be found from https://jianqin.metadataetc.org/wp-content/uploads/2023/08/Qin_CV.pdf.
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