"Enhancing the FAIRness of the (meta)data
in the Korean National Debt Redemption Movement Archive (NDRMA)"
Because we are aiming for the long-term preservation of the Korean National Debt Redemption Movement Archive (NDRMA) as well as an effective plan for distributing digital representations of the documents in the NDRMA and other data describing the NDRMA, it is relevant to implement the FAIR principles to ensure that the (meta)data of the archival resources are Findable, Accessible, Interoperable, and Reusable (FAIR). This presentation will demonstrate a number of smart data approaches and strategies, including semantic enrichment of the archival materials and their metadata, contextualizing at the entitle level, and improving outcomes for both humans and machines in order to maximize the FAIRness of historical and cultural heritage data of the NDRMA and beyond.
Marcia Lei Zeng is a Professor of Information Science at Kent State University. She holds a Ph.D. from the School of Computing and Information at the University of Pittsburgh in the United States of America. Her research interests include knowledge organization systems (taxonomies, thesauri, ontologies, etc.), Linked Data, metadata, smart data and big data, database quality control, semantic technologies, and digital humanities. Dr. Zeng has authored over 100 research papers as well as 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 for IFLA, SLA, ASIS&T, NISO, ISO, DCMI, ISKO, and W3C. Currently she is serving as Chair of the Digital Humanities Curriculum Committee of the global iSchools organization, Chair of the DCMI Education Committee, and an Executive Board Member for the International Society for Knowledge Organization (ISKO).
[Personal home page: https://marciazeng.slis.kent.edu/]