Marcia Lei Zeng headshot

Marcia Lei Zeng, Ph.D.

School of Information
Professor
Campus:
Kent
Contact Information
Phone:
330-672-0009
Personal Website:

Biography

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, on her Google Scholar page, or on her personal website.


Teaching/Advising

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


Publications

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. https://doi.org/10.2478/dim-2020-0009

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. https://doi.org/10.2478/jdis-2020-0008

Zeng, M. L. (2019). Semantic enrichment for enhancing LAM data and supporting digital humanities. El profesional de la información, 28(1), e280103. https://doi.org/10.3145/epi.2019.ene.03

Zeng, M. L. & Mayr, P. (2018). Knowledge organization systems (KOS) in the semantic web. International Journal on Digital Libraries. https://doi.org/10.1007/s00799-018-0241-2 Online version 2018.05 https://rdcu.be/PgZW

Zeng, M, L. & Qin, J. (2016). Metadata. 2nd Edition. ALA Neal-Schuman. Facet Publishing. ISBN: 978-1783300525 [Named a 2017 CHOICE Outstanding Academic Title]
Companion Website: http://metadataetc.org/book-website2nd/

Keynote Presentation: SWIB19 - 11th Semantic Web in Libraries Conference (A pdf version of Dr. Zeng's Keynote can be found below.)


Grants

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 


Awards/Achievements

  • 2016 President’s Faculty Excellence Award
  • Linked Conservation Data, (as a member of the Consortium) 2019-2021 (funded by UKRI Arts & Humanities Research Council)
  • Best Poster Award, CIDOC International Council of Museums (ICOM) 25th General Conference, 1-7 September 2019. Kyoto, Japan. 
  • U.S. Fulbright Scholar to Taiwan, 2015-1016.

Professional Service

  • 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).” 

Affiliations

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

Education

Ph.D. - Information Science - University of Pittsburgh , M.A. - Library and Information Science - Wuhan University, B.A. - Library and Information Science - Wuhan University

Expertise

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