Overview
Curriculum Vitae: PDF
Personal website: http://jianqin.metadataetc.org/
Research website: https://lab.metadataetc.org/
ORCID: http://orcid.org/0000-0002-7094-2867
Jian Qin is Professor at the iSchool at Syracuse University. She conducts research in areas of metadata, knowledge and data modeling, scientific communication, research collaboration networks, and research data management. Her research has received funding from IMLS to develop an eScience librarianship curriculum and from NSF for the Science Data Literacy project. Jian Qin directs a Metadata Lab that focuses on big metadata analytics and metadata modeling and linking. Her team uses GenBank metadata as a novel data sources to study biomedical collaboration networks under the theoretical framework of collaboration capacity, which was funded by NSF and NIH/National Center for General Medical Science. She and her colleagues developed 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 the recipient of the 2020 Frederick G. Kilgour Award for Research in Library and Information Technology.
Research
Information and knowledge organization: metadata, schema representation of information, ontological modeling;
Scientific communication: research data management/curation, impact assessment, collaboration networks
Most recent publication:
Qin, J., Hemsley, J., & Bratt, S. (2022). The structural shift and collaboration capacity in GenBank networks: A longitudinal study. Quantitative Science Study, 1-20. DOI: https://doi.org/10.1162/qss_a_00181; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012484/
Hemsley, J., Qin, J., Bratt, S., & Smith, A. (2022). Collaboration Networks and Career Trajectories: What Do Metadata from Data Repositories Tell Us? In: Proceedings of 85th ASIST Annual Meeting, October 28-November 1, 2022, Pittsburgh, PA.
Honick, B., Polley, K., & Qin, J. (2022). Entification of Metadata for Knowledge-Graph-Guided Discovery. In: Proceedings of 85th ASIST Annual Meeting, October 28-November 1, 2022, Pittsburgh, PA.
Tompkins, V., Honick, B., Polley, K., & Qin, J. (2021). MetaFAIR: A metadata application profile for managing research data. In: Proceedings of 84th ASIST Annual Meeting, October 30-November 2, 2021, Salt Lake City, UT. https://doi.org/10.1002/pra2.461
Polley, K., Tompkins, V., Honick, B., & Qin, J. (2021). Named entity disambiguation for archival collections: Metadata, Wikidata, and Linked data. In: Proceedings of 84th ASIST Annual Meeting, October 30-November 2, 2021, Salt Lake City, UT. https://doi.org/10.1002/pra2.490
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
Teaching
Information organization, metadata, digital curation and preservation, and scholarly communication.
Research
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
Teaching
Information organization, metadata, digital curation and preservation, and scholarly communication.
