Hyoungjoo Park

Visiting Assistant Professor

Education

PhD in Information Studies, School of Information Studies, University of Wisconsin – Milwaukee, WI, USA
Master of Science in Information Management, School of Information Studies, Syracuse University, NY, USA
Bachelor in Library and Information Science, SungKyunKwan University (SKKU), Seoul, Korea
Bachelor in Business Administration, SungKyunKwan University (SKKU), Seoul, Korea

Bio

Hyoungjoo Park is a visiting assistant professor in the School of Information Studies at the University of Wisconsin-Milwaukee. Her research focuses on data/software curation, sharing, reuse, and citation in scholarly communication as well as linked open data. She received an early career fellowship as a Data Share Fellow with the Research Data Alliance and was awarded the Eugene Garfield Doctoral Dissertation Fellowship by the Beta Phi Mu honor society. Dr. Park earlier worked as a research and development analyst with the LG Corporation.

Courses taught

Organization of Knowledge
Knowledge Organization for Information Science and Technology
Information Security I
Web Application Development

Professional Societies / Membership

Association for Information for Information Science and Technology (ASIS&T)
Association for Library and Information Science Education (ALISE)

Journals

Park, H., & Wolfram, D. (2019). Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse. Journal of Informetrics, 13(2), 574-582.

Park, H., & Kipp, M.E.I. (2019). Library linked data models: Library data in the semantic web. Cataloging and Classification Quarterly, 57(5), 261-277.

Park, M., & Park, H. (2019). An examination of metadata practices for research data reuse: Characteristics and predictive probability of metadata elements. Malaysian Journal of Library & Information Science, 24(3), 61-75.

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

Scholarly Activities

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.