(Full CV last updated 5/27/2020)
Jian Qin is Professor at the iSchool, Syracuse University. The areas of her research interest include metadata, knowledge and data modeling, scientific communication, research networks, and research data management. She has received funding from IMLS to develop an eScience librarianship curriculum and from NSF for the Science Data Literacy project. Her recent research projects include metadata modeling for gravitational wave research data management and big metadata analytics using GenBank metadata records for DNA sequences, both with funding from NSF. She also collaborated with a colleague to develop a Capability Maturity Model for Research Data Management funded by a grant from the Interuniversity Consortium for Political and Social Research (ICPSR). She was a visiting scholar at the Online Computer Library Center (OCLC), where she developed the learning object vocabulary project. Jian Qin has published widely in national and international research journals. She was the co-author of the book Metadata and co-editor for several special journal issues on knowledge discovery in databases and knowledge representation. She is also the recipient of the 2020 Frederick G. Kilgour Award for Research in Library and Information Technology.
Jian Qin holds a Master of Library and Information Science from the University of Western Ontario and Ph.D. from University of Illinois at Urbana-Champaign.
Jian Qin’s contact information can be found from the faculty directory at School of Information Studies, Syracuse University. Her profile is also available on ORCID and LinkedIn.
More information is available on her personal website: http://jianqin.metadataetc.org/.
Information and knowledge organization: metadata, schema representation of information, ontological modeling;
Scientific communication: research data management/curation, impact assessment, interaction
Most recent publication:
Qin, J. (2020). Knowledge organization and representation under the AI lens. Journal of Data and Information Science. 5(1): 3–17. DOI: 10.2478/jdis-2020-0002