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Marcia Lei Zeng is a Professor of Information Science at ����ֱ�� State University (USA).

She holds a Ph.D. from the University of Pittsburgh��s School of Computing and Information. Her primary research interests include knowledge organization systems, linked data, metadata, smart data and big data, semantic technologies, and digital humanities. Her scholarly publications consist of more than 100 research papers and five 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), the Institute of Museum and Library Services (IMLS), OCLC Online Computer Library Center, Fulbright, and other esteemed academic and scientific foundations.

In 2014, Zeng was recognized by ����ֱ�� State University for Outstanding Research and Scholarship, and in 2016 she received the President��s Faculty Excellence Award from University President Beverly Warren. Dr. Zeng has chaired and served on numerous committees, working groups, and executive boards including the International Federation of Library Associations and Institutions (IFLA), the Special Libraries Association (SLA), the 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), and the World Wide Web Consortium (W3C). Currently, Dr. Zeng is serving as an Executive Board Member of ISKO and chair of the Digital Humanities Curriculum Committee of the global iSchools organization.

*The School of Information faculty are superstars in the field. Therefore, it is impossible to list all of the great work they do on one page. Listed below is a small selection of recent work. Further information can be viewed in Dr. Zeng��s CV (found below), on her page, or on her .

Teaching/Advising

Academic Programs
User Experience Design
Library & Information Science

 Cultural Heritage InformaticsData/Information/Technology (Applied Data Science)Digital Humanities Information Organization User Experience In Libraries, Archives and Museums 

Courses
LIS 60635     Cultural Heritage Informatics
LIS 60636     Knowledge Organization, Structures, Systems and Services
LIS 60637     Metadata Architecture and Implementation
LIS 61095     Linked Data
UXD 61095   ST: Knowledge Organization Structures for UXD

Research Specialties

ClassificationLinked DataMetadataOntologiesTaxonomiesDigital Humanities

Selected Projects

"Revealing Innovation History by Using Smart Data"                       

Selected Publications

Zeng, M.L., Qin, J. (2022). Metadata, Chicago: ALA Neal-Schuman ISBN: 978-0-8389-4875-0

Subirats, I. & Zeng, M. L. (2020). Linked Open Data Enabled Bibliographical Data (LODE-BD) 3.0 �C A practical guide on how to select appropriate encoding strategies for producing Linked Open Data Enabled Bibliographical Data. Food and Agriculture Organization (FAO) of the United Nations.  ISBN: 978-9-25-133655-7

Zeng, M. L., Hong, Y., Clunis, J., He, S., & Coladangelo, L. P. (2020, June 24). Implications of knowledge organization systems for health information exchange and communication during the COVID-19 Pandemic. Information Management, 4(3), 148�C170.

Zeng, M. L. & Clunis, J. (2020). FAIR + FIT: Guiding principles and functional metrics for linked open data (LOD) KOS products. Journal of Data and Information Science (JDIS), 5(1), 93-118.

Zeng, M. L. (2019). Semantic enrichment for enhancing LAM data and supporting digital humanities. El profesional de la informaci��n, 28(1), e280103.

Zeng, M. L. & Mayr, P. (2018). Knowledge organization systems (KOS) in the semantic web. International Journal on Digital Libraries.  Online version 2018.05

Selected Compiling and Editorial Works

Zeng. M.L., Sula, C. A., Gracy, K. F., et al. Digital Humanities (DH). A special issue of the Journal of Association for Information Science and Technology (JASIST), Volumen 73, Issue 2, February 2022. ()

�Z��WҕҰ�µ�֪�R�M���c�Ļ��Y�a Knowledge Organization and Cultural Heritages: Perspectives of Semantic Web. 2017. A special issue of �D���^�W�c�YӍ�ƌW Journal of Library and Information Science 2017, 43(2). (Served as the Guest Editor. Text in Chinese, with long English abstracts). Available at: http://jlis.glis.ntnu.edu.tw/ojs/index.php/jlis/issue/view/89 ISSN 0363-3640

Keynote Presentations

Keynote. "Generating Trustable Smart Data for Digital Humanities in the Age of AI �C Possibilities and Challenges. " CDH2023 5th Chinese Digital Humanities Conference, Wuhan, China. Dec. 8-10, 2023.

Keynote. "Semantic Enrichment of LAM Data to Support Digital Humanities." , virtual, Nov. 29 - Dec. 3, 2021.

Keynote. "Health KOSs in a Data-driven Age."    - 5th Congress ISKO Spain-Portugal (15th ISKO Spain), Lisbon, Portugal, Nov. 25 - 26, 2021.

Keynote: "Semantic Enrichment for Enhancing Historical and Cultural Heritage Data to Support Digital Humanities Research", Dec 11, 2020. Helsinki, Finland. (Virtual)

Keynote: "�ǻ۔��� for ��������".. Dec. 1-4, 2020. Taipei, Taiwan. (Virtual)

Keynote: . Nov. 25-27, 2019. Hamburg, Germany. (A pdf version of Dr. Zeng's Keynote can be found below.)

Grants

��Generating Trustable Cultural Metadata in the New Age of AI��, Summer Research and Creative Activity Appointment Grant, $10,000, 2024.

Co-Investigator and Principal Investigator from KSU (with Mike Crandall, University of Washington iSchool) on ��Linked Data for Professional Education (LD4PE),�� funded by the Institute of Museum and Library Services (IMLS), National Leadership Grants, $249,527 (KSU awarded $72,075), 2014 �C 2017

Principal Investigator on ��Developing a Digital Humanities Platform for Researching the History of Innovation�� (with Yin Zhang, Hongshan Li, and Xinyue Ye, KSU), ����ֱ�� State University Research Seed Grant, A Research Acceleration Award, $10,000, awarded 2017

��Digital Humanities Research with Smart Big Data �� A Network Framework of Innovation History�� (with Yin Zhang, et al.), ����ֱ�� State University, Internal Post-Doctoral Competition. $40,000, awarded 2015 �C 2016

U.S. Fulbright Scholar grant, 2015-1016

Principal Investigator and Project Director, ��Connecting libraries to the unfamiliar data and metadata resources in the Linked Open Data (LOD) Universe-The Metadata Vocabulary Junction Project�� (with Karen Gracy, KSU), funded by the Institute of Museum and Library Services (IMLS), National Leadership Grants, $219,386,  awarded 2011 - 2013 

National Science Foundation. National Science, Mathematics, Engineering, and Technology Education Digital Library (NSDL) grant. P.I. ($150,784, Sept. 2003 - Aug. 2004) ; Co-P.I. ($607,394, Sept. 2001-Aug. 2003).

Awards/Achievements

• , recognizing sustained contributions to and/or achievements in the field of information science and/or the professions in which it is practiced. 
• ASIS&T Distinguished Member,
• Linked Conservation Data, (as a member of the Consortium), funded by UKRI Arts & Humanities Research Council (2019 - 2021)
• Best Poster Award, CIDOC International Council of Museums (ICOM) 25th General Conference, 1-7 September 2019. Kyoto, Japan. 
• 2017 CHOICE Outstanding Academic Title, Zeng, M, L. & Qin, J. (2016). Metadata (2nd ed.). ALA Neal-Schuman. Facet Publishing. ISBN: 978-1-78330-052-5 Companion Website:
• 2016 President��s Faculty Excellence Award, ����ֱ�� State University
• U.S. Fulbright Scholar to Taiwan (2015 - 2016)

Professional Service

• Governing Board member, Sept. 2021 -- present 
• Chair, . 2021 -- present
• Serves on the Executive Board for the International Society for Knowledge Organization (ISKO) (2016 - 2020, 2020 - 2024)
• Co-chair for the Digital Humanities Curriculum Committee (iDHCC), iSchools Consortium (2019 - 2021)
• Standards Committee Member for the Association for Information Science & Technology (ASIS&T) (2014 - Present)
• Lead Guest Editor for the Journal of the Association for Information Science and Technology (JASIST), (�ٱ�).��&�Բ�����;

Affiliations

• American Society for Information Science & Technology (ASIS&T)
• International Society for Knowledge Organization (ISKO)
• Dublin Core Metadata Initiative (DCMI)