Marcia Lei Zeng headshot

Marcia Lei Zeng, Ph.D.

School of Information
Contact Information
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Marcia Lei Zeng is a Professor of Information Science at Kent 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 Kent 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 Google Scholar page, or on her personal website.


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 

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 – 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), 148–170.

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 información, 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. (TOC)

語意網視野下的知識組織與文化資產 Knowledge Organization and Cultural Heritages: Perspectives of Semantic Web. 2017. A special issue of 圖書館學與資訊科學 Journal of Library and Information Science 2017, 43(2). (Served as the Guest Editor. Text in Chinese, with long English abstracts). Available at: ISSN 0363-3640


Keynote Presentations

Keynote. "Semantic Enrichment of LAM Data to Support Digital Humanities." MTSR 2021. 15th International Conference on Metadata and Semantics Research, virtual, Nov. 29 - Dec. 3, 2021.

Keynote. "Health KOSs in a Data-driven Age."  ISKO 2021 Lisboa: Knowledge Organization in Horizon 2030  - 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" HELDIG Digital Humanities Summit 2020, Dec 11, 2020. Helsinki, Finland. (Virtual)

Keynote: "智慧數據 for 數字人文". 數位典藏與數位人文國際研討會 11th International Conference of Digital Archives and Digital Humanities, DADH 2020. Dec. 1-4, 2020. Taipei, Taiwan. (Virtual)

Keynote: SWIB19 - 11th Semantic Web in Libraries Conference. Nov. 25-27, 2019. Hamburg, Germany. (A pdf version of Dr. Zeng's Keynote can be found below.)


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 – 2017

Principal Investigator on “Developing a Digital Humanities Platform for Researching the History of Innovation” (with Yin Zhang, Hongshan Li, and Xinyue Ye, KSU), Kent 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.), Kent State University, Internal Post-Doctoral Competition. $40,000, awarded 2015 – 2016

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 


  • ASIS&T Distinguished Member, Inaugural Class of 2021
  • 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, Kent State University
  • U.S. Fulbright Scholar to Taiwan (2015 - 2016)

Professional Service

  • Governing Board member, DCMI Governing Board Sept. 2021 -- present 
  • Chair, DCMI Education Committee. 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), Special Issue on “Digital Humanities (DH).” 


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


Ph.D. in Information Science from the University of Pittsburgh , M.A. in Library and Information Science from Wuhan University, B.A. in Library and Information Science from Wuhan University


Knowledge Organization and Representation / Thesaurus / Taxonomy and Ontology, Linked Data and Metadata, Database Quality Control, Multilingual & Multicultural Information Processing