A complete list of publications can be found in my curriculum vita.
Book
Zeng, M.L. and J. Qin. (2022). Metadata. 3rd ed. New York: Neal-Schuman. ISBN: 978-0-8389-4875-0. Table of contents is available at https://www.alastore.ala.org/metadata3. The book website: https://metadataetc.org/book-website3rd/index.html.
Refereed Journal Articles (2016-)
Liu, Q. & Qin, J. (2026). Knowledge organization in the AI-era biological sciences: A thematic review. Knowledge Organization, 53(1), 46546; https://doi.org/10.31083/KO46546.
Liu, Q., & Qin, J. (2025). The role of ontologies in machine learning: a case study of Gene Ontology. Information Research an International Electronic Journal, 30(iConf), 108–122. https://doi.org/10.47989/ir30iConf47575
Huang, H. & Qin, J. (2024). Metadata functional requirements for genomic data practice and curation. Information Research: an international electronic journal, 29(2): 3-29. https://doi.org/10.47989/ir292363
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/
Dobreski, B., J. Qin, & M. Resnick. (2020). Depicting historical persons and identities: A faceted approach. Knowledge Organization, 47(8): 668-679. https://www.ergon-verlag.de/isko_ko/downloads/ko_47_2020_8_5.pdf
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
Qin, J., Crowston, K., & Kirkland, A. (2017). Pursuing best performance in research data management by using the capability maturity model and rubrics. Journal of eScience Librarianship, http://escholarship.umassmed.edu/jeslib/vol6/iss2/3/.
Qin, J., B. Dobreski, & D. Brown. (2016). Metadata and reproducibility: A case study of gravitational wave data management. International Journal of Digital Curation, 11(1): 218-231. doi:10.2218/ijdc.v11i1.399
Qin, J. & J. D’Ignazio. (2016). Enhancing scientific data literacy in college students: Experience and lessons learned. Journal of InfoLib and Archives, 8(1): 1-27. DOI: 10.6575/JILA.2016.88.01
Costa, M., J. Qin, & S. Bratt. (2016). Emergence of collaboration networks around large scale data repositories: A study of the genomics community using GenBank. Scientometrics, 108(1): 21-40. DOI: 10.1007/s11192-016-1954-x.
Other Journal Articles
Qin, J. (2025). AI-driven scientific discoveries: Rethinking the institutional mission and action strategies. Journal of Information and Management, early online access: https://link.cnki.net/urlid/31.2118.G2.20250908.1548.002 (in Chinese with English abstract)
Qin, J. (2024). Artificial intelligence and human: on the positive and negative impact of AI. Data Analysis and Knowledge Discovery, 92/93(8/9): DOI: 10.11925/infotech.2096-3467.2024.0711. (in Chinese with English abstract)
Refereed Conference Papers (2016-)
Liu, Q., Qin, J., & Hemsley, J. (2026). GO or no GO: Why doctors read the old stuff and computer scientists skip ahead. In: Proceedings of 89th ASIST Annual Meeting, November 6-10, 2026, Bangkok, Thailand, in press.
Qin, J., Liu, Q., Yu, B. (2026). Transforming the ISKO Encyclopedia into a knowledge network using LLMs: An experiment. In: Proceedings of the ISKO 2026, August 16-19, 2026, Sao Paulo, Brazil, in press.
Qin, J., Yu, B., Liu, Q. (2026). Capturing semantic gaps in MeSH through human-AI collaboration. Networked Knowledge Organization Systems (NKOS) Workshop at the Dublin Core International Conference DC-2026, August 3-7, 2026, Seoul, South Korea.
Qin, J. & Liu, Q. (2024). Organizing knowledge in knowledgebases: A case study. In: Knowledge Organization for Resilience in Times of Crisis: Challenges and Opportunities: Proceedings of the Eighteenth International ISKO Conference, 2024, Wuhan, China, pp. 393-400. Baden-Baden: Ergon. http://doi.org/10.5771/9783987400476
Qin, J. & Yu, B. (2023). Metadata in trustworthy AI. In: The Dublin Core International Conference DCMI2023, Daegu, South Korea, November 6-10, 2023. https://doi.org/10.23106/dcmi.953354037
Qin, J., Bratt, S., Hemsley, J., & Smith, A.O. (2023). Metadata analytics: A methodological discussion. In: International Society of Scientometrics and Informetrics (ISSI) 2023 Conference, Bloomington, IN, July 3-5, 2003.
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. https://doi.org/10.1002/pra2.608
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. https://doi.org/10.1002/pra2.609
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
Hemsley, J., J. Qin, & S. Bratt. (2020). Data to knowledge in action: A longitudinal analysis of GenBank metadata. In: Proc. Assoc. Info. Sci. Tech., https://doi-org.libezproxy2.syr.edu/10.1002/pra2.253.
Qin, J. (2019). Paradigmatic similarities in knowledge representation between AI and ontological systems. In: International Society for Knowledge Organization, UK Chapter (ISKO-UK) Biennial Conference, July 15-16, London.
Dobreski, B., J. Park, A. Leathers, & J. Qin. (2019). Remodeling Archival Metadata Descriptions for Linked Archives. In: The Dublin Core International Conference DC-2019.
Dobreski, B., M. Resnick, & J. Qin. (2019). Side by side: The use of multiple subject languages in capturing shifting contexts around historical collections. In: International Society for Knowledge Organization: Chapter for Canada and United States, June 13-14, Philadelphia, PA, June 13-14, 2019 (NASKO 2019).
Qin, J., B. Yu, & L. Wang. (2018). Knowledge node and relation detection. Networked Knowledge Organization Systems (NKOS) Workshop at the Dublin Core International Conference DC-2018, Porto, Portugal, September 13, 2018.
Qin, J. (2018). A relation typology in knowledge organization systems: Case studies in the research data management domain. In: Proceedings of the Fifteenth International ISKO Conference, Porto, Portugal, July 9-11, 2018. (Abstract peer reviewed)
Qin, J., J. Hemsley, & S. Bratt. (2018). Collaboration capacity: Measuring the impact of cyberinfrastructure-enabled collaboration networks. In: Science of Team Science (SCITS) 2018 Conference, Galveston, Texas, May 21-24, 2018.
Bratt, S., Hemsley, J., Qin, J., & Costa, J. (2017). Big Data, big metadata, and quantitative study of science: A workflow model for big scientometrics. In: Proceedings of Association for Information Science and Technology Annual Conference (ASIST 2017), Washington, DC, October 28-31.
Qin, J. & N. Zou. (2017). Structures and relations of knowledge nodes: Exploring a knowledge network of disease from precision medicine research publications. iConference 2017, Wuhan, China.
Qin, J., B. Dobreski, & D. Brown. (2016). Metadata and reproducibility: A case study of gravitational wave data management. In: Proceedings of the 11th International Digital Curation Conference, 22 – 25 February 2016, Amsterdam, Netherlands. http://www.ijdc.net/index.php/ijdc/article/view/11.1.218
Refereed Conference Posters (2016-)
Liu, Q., Owen, H.C., & Qin, J. (2025). Reduced information anxiety through academic library data literacy education. In: Proceedings of the Association for Information Science and Technology, vol. 62, pp. 1559-1661. https://doi.org/10.1002/pra2.1467.
Qin, J., Hemsley, J., Bratt, S., & Smith, A.O. (2023). High performers emerged from data-to-knowledge pathways. In: The 2nd International Conference of Science of Science & Innovation, June 26-28, 2023, Kellogg Global HUB, Northwestern University, Evanston, IL., USA.
Qin, J., Hemsley, J., Bratt, S., Smith, A.O., & Liu, Q. (2023). A FAIR data ecosystem for science of science research. In: Proc. of the 86th Annual Meeting of the Assoc. Info. Sci. Tech. DOI: 10.1002/pra2.960. PMCID: https://pmc.ncbi.nlm.nih.gov/articles/PMC10993287/
Qin, J., A. Leathers, & V. Tompkins. (2020). Linking Mechanisms in Data Repositories: A Case Study of BioSample Database. In: Proc. Assoc. Info. Sci. Tech. (online), October 23-26, 2020.
Bratt, S.E., Hemsley, J., & Qin, J. (2019). A closer look at the data co-authorship: Trends in team size in “big science”. In: The 17th International Society of Scientometrics and Informetrics Conference, Rome, Italy, September 2-5, 2019.
Bratt, S.E., Costa, M., Hemsley, J., & Qin, J. (2016). Validating science’s power players: Scientometric mixed methods for data verification in identifying influential scientists in a genetics collaboration community. iConference, Philadelphia, PA, March 2016.
Qin, J. & Dobreski, B. (2016). Modeling domain metadata beyond metadata standards. iConference, Philadelphia, PA, March 2016.