Visiting Assistant Professor
University of Wisconsin-Milwaukee, School of Information Studies, WI, USA
PhD in Information Studies
Syracuse University, School of Information Studies, Syracuse, NY, USA
Master of Science in Information Management
SungKyunKwan University, Seoul, Korea
Bachelor in Library and Information Science
Bachelor in Business Administration
Professional Societies / Membership
Association for Information for Information Science and Technology (ASIS&T)
Association for Library and Information Science Education (ALISE)
Park, H., You, S., & Wolfram, D. (2018). Informal data citation for data sharing and re-use are more common than formal data citation in biomedical fields. Journal of the Association for Information Science and Technology (69)11, 1346-1354.
Park, H., & Wolfram, D. (2017). Research data sharing and re-use: Implications for data citation practice. Scientometrics, 111(1), 443-461.
Smiraglia, R.P., & Park, H. (2017). Ontological data-sharing of open government data for data curation. Canadian Journal of the Information and Library Science. 41(4), 285-307.
Cai, X., Castillo, M., Graf, A., Hassan, M., Park, H. & Smiraglia, R.P. (2016). Knowledge organization and the 2015 UDC seminar: An Editorial. Knowledge Organization, 43(6), 395-402.
Beak, J., Choi, I., Lee, S., Park, H., Ridenour, L., & Smiraglia, R.P. (2014). Knowledge organization and the 2013 UDC seminar: An Editorial. Knowledge Organization, 42(3), 191-194.
Park, H. (accepted). Implications of data sharing on formal data citation in biomedical fields. 2019 iConference.
Park, H. (2018). The impact of research data sharing and reuse on data citation in STEM fields. Retrieved from ProQuest Dissertation & Theses Global. (Order No. 13422391).
Park, H., & Wolfram, D. (2018). Research data sharing and re-use: Practical implications for data citation practice that benefit researchers. Southern California Clinical and Translational Science Institute, University of Southern California, CA. (Invited speaker)
Park, H. & Kipp, M.E.I. (2018). Library linked data models: Multinational library data in the semantic web. ASIS&T Workshop: Big Metadata Analytics.
Park, H. (2017). The impact of research data sharing and re-use on data citation in STEM fields. ASIS&T Doctoral Seminar on Research and Career Development, Washington, DC.
Park, H., & Wolfram, D. (2017). Formalised data citation practices would encourage authors to make their data available for reuse. LSE Impact Blog of the London School of Economics and Political Science.
Smiraglia, R.P. & Park, H. (2016). Using Korean open government data for data-curation and data integration. In Dublin Core and Metadata Applications (DCMI) 2016 Proceedings.
Park, H., & Kipp, M.E.I. (2015). Evaluation of mappings from MARC to Linked Data. Advances in Classification Research Online. (ASIS&T SIG/CR Paper)
Park, H., & Smiraglia, R.P. (2014). Enhancing Data Curation of Cultural Heritage for Information Sharing: A Case Study using Open Government Data. Communications in Computer and Information Science. 478, 95-106. Switzerland: Springer International Publishing.