• Qin, J., Hemsley, J., & Bratt, S. E.  (2022). The Structural Shift and Collaboration Capacity in GenBank Networks: A Longitudinal Study. Quantitative Science Studies,doi: https://doi.org/10.1162/qss_a_00181

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• 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

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• Qin, J. (2020). Knowledge organization and representation under the AI lens. Journal of Data and Information Science. 5(1): 3–17. https://www.sciendo.com/article/10.2478/jdis-2020-0002

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• 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, 6(2/3), https://doi.org/10.7191/jeslib.2017.1113

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• Costa, M. R., Qin, J., & Bratt, S. (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

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• Liu, X. & Qin, J. (2014). An interactive metadata model for structural, descriptive, and referential representation of scholarly output. Journal of the American Society for Information Science and Technology, 65(5): 964-983. https://doi-org.libezproxy2.syr.edu/10.1002/asi.23007

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• 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. 

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• 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 85^th ASIST Annual Meeting, October 28-November 1, 2022, Pittsburgh, PA.

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• Honick, B., Polley, K., & Qin, J. (2022). Entification of Metadata for Knowledge-Graph-Guided Discovery. In: Proceedings of 85^th ASIST Annual Meeting, October 28-November 1, 2022, Pittsburgh, PA.

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• Tompkins, V.T., Honick, B., Polley, K., & Qin, J. (2021). MetaFAIR: A Metadata Application Profile for Managing Research Data. Long paper submitted to ASIST Annual Conference.

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• Polley, K., Honick, B., Tompkins, V.T., & Qin, J. (2021). Named Entity Disambiguation for Archival Collections: Metadata, Wikidata, and Linked Data. Short paper submitted to ASIST Annual Conference.

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• Bratt, S. E., Qin, J., Hemsley, J., Amol , S., & Devitt, W. (2021). Data-Publication Collaboration Networks in HIV Research. Long paper submitted to ASIST Annual Conference.

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• 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 

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• 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. https://doi.org/10.5771/9783956505508-220

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• 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. https://www.issi-society.org/proceedings/issi_2019/ISSI%202019%20-%20Proceedings%20VOLUME%20I.pdf
  

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• Dobreski, B., J. Park, A. Leathers, & J. Qin. (2019). Remodeling Archival Metadata Descriptions for Linked Archives. In: The Dublin Core International Conference DC-2019. https://dcpapers.dublincore.org/pubs/article/view/4025/2227

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• 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). https://journals.lib.washington.edu/index.php/nasko/article/view/15615

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• 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. http://ceur-ws.org/Vol-2200/paper3.pdf

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• 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.

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• Qin, J., J. Hemsley, & S. Bratt. (2018). Collaboration capacity: Measuring the impact of cyberinfrastructure-enabled collaboration networks. Science of Team Science (SCITS) 2018 Conference, Galveston, Texas, May 21-24, 2018 https://experts.syr.edu/en/publications/collaboration-capacity-measuring-the-impact-of-cyberinfrastructur

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• 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. https://www.ergon-verlag.de/isko_ko/downloads/aiko_vol_16_2018_048_qin.pdf

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• 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.

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• Bratt, S., Hemsley, J., Qin, J., & Costa, M. (2017). Big data, big metadata and quantitative study of science: A workflow model for big scientometrics. Proceedings of the Association for Information Science and Technology, 54(1), 36–45. https://doi.org/10.1002/pra2.2017.14505401005

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• Qin, J., & Zou, N. (2017). Structures and Relations of Knowledge Nodes: Exploring a Knowledge Network of Disease from Precision Medicine Research Publications. In iConference 2017 Proceedings (pp. 56–65) https://doi-org.libezproxy2.syr.edu/10.1002/asi.23007.

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• Qin, J. & Dobreski, B. (2016). Modeling domain metadata beyond metadata standards. iConference, Philadelphia, PA, March 2016. http://hdl.handle.net/2142/89400

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• Qin, J., Costa, M., & Wang, J. (2015). Methodological and technical challenges in big scientometric data analytics. iConference 2015, Newport Beach, CA, March 24-27, 2015. http://hdl.handle.net/2142/73756

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• Costa, M., Qin, J., & Wang, J. (2014). Research networks in data repositories. In: Joint Conference of Digital Libraries (JCDL) London, UK, September 8-10, 2014.

• Liu, X. & Qin, J. (2014). An interactive metadata model for structural, descriptive, and referential representation of scholarly output. Journal of the American Society for Information Science and Technology, 65(5): 964-983. https://doi-org.libezproxy2.syr.edu/10.1002/asi.23007

VIEW PUBLICATION >>>

• Liu, X., Chen, M., & Qin, J. (2014). Interlinking cross language metadata using Heterogeneous graphs and Wikipedia. Dublin Core International Conference DC-2014, Austin, TX, October 8-10, 2014.

• Qin, J. & Li, K. (2013). How portable are the metadata standards for scientific data? A proposal for a metadata infrastructure. In: Dublin Core International Conference DC-2013, Lisbon, Portugal, September 2-6, 2013.

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• Qin, J., Ball, A., & Greenberg, J. (2012). Functional and architectural requirements for metadata: Supporting discovery and management of scientific data. Dublin Core International Conference DC-2012, Kuching, Malaysia, September 3-7, 2012.

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• Tompkins, V.T., Honick, B., Polley, K., & Qin, J. (2021). MetaFAIR: A Metadata Application Profile for Managing Research Data. Long paper submitted to ASIST Annual Conference.

VIEW PUBLICATION >>>

• Polley, K., Honick, B., Tompkins, V.T., & Qin, J. (2021). Named Entity Disambiguation for Archival Collections: Metadata, Wikidata, and Linked Data. Short paper submitted to ASIST Annual Conference. 

VIEW PUBLICATION >>>

• Bratt, S. E., Qin, J., Hemsley, J., Amol , S., & Devitt, W. (2021). Data-Publication Collaboration Networks in HIV Research. Long paper submitted to ASIST Annual Conference. 

VIEW PUBLICATION >>>

• 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 

VIEW PUBLICATION >>>

• 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. https://doi.org/10.5771/9783956505508-220 

VIEW PUBLICATION >>>

• 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. https://www.issi-society.org/proceedings/issi_2019/ISSI%202019%20-%20Proceedings%20VOLUME%20I.pdf
  

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• Dobreski, B., J. Park, A. Leathers, & J. Qin. (2019). Remodeling Archival Metadata Descriptions for Linked Archives. In: The Dublin Core International Conference DC-2019. https://dcpapers.dublincore.org/pubs/article/view/4025/2227

VIEW PUBLICATION >>>

• 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). https://journals.lib.washington.edu/index.php/nasko/article/view/15615

VIEW PUBLIACTION >>> 

• 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. http://ceur-ws.org/Vol-2200/paper3.pdf

VIEW PUBLICATION >>>  

• 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.  

VIEW PUBLICATION >>>

• Qin, J., J. Hemsley, & S. Bratt. (2018). Collaboration capacity: Measuring the impact of cyberinfrastructure-enabled collaboration networks. Science of Team Science (SCITS) 2018 Conference, Galveston, Texas, May 21-24, 2018 https://experts.syr.edu/en/publications/collaboration-capacity-measuring-the-impact-of-cyberinfrastructur

VIEW PUBLICATION >>>

• 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. https://www.ergon-verlag.de/isko_ko/downloads/aiko_vol_16_2018_048_qin.pdf

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• 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. 

VIEW PUBLICATION >>>

• Bratt, S., Hemsley, J., Qin, J., & Costa, M. (2017). Big data, big metadata and quantitative study of science: A workflow model for big scientometrics. Proceedings of the Association for Information Science and Technology, 54(1), 36–45. https://doi.org/10.1002/pra2.2017.14505401005 

VIEW PUBLICATION >>>

• Qin, J., & Zou, N. (2017). Structures and Relations of Knowledge Nodes: Exploring a Knowledge Network of Disease from Precision Medicine Research Publications. In iConference 2017 Proceedings (pp. 56–65) https://doi-org.libezproxy2.syr.edu/10.1002/asi.23007.

VIEW PUBLICATION >>>

• Qin, J. & Dobreski, B. (2016). Modeling domain metadata beyond metadata standards. iConference, Philadelphia, PA, March 2016. http://hdl.handle.net/2142/89400

VIEW PUBLICATION >>>

• Qin, J., Costa, M., & Wang, J. (2015). Methodological and technical challenges in big scientometric data analytics. iConference 2015, Newport Beach, CA, March 24-27, 2015. http://hdl.handle.net/2142/73756

VIEW PUBLICATION >>>

• Costa, M., Qin, J., & Wang, J. (2014). Research networks in data repositories. In: Joint Conference of Digital Libraries (JCDL) London, UK, September 8-10, 2014.

• Liu, X. & Qin, J. (2014). An interactive metadata model for structural, descriptive, and referential representation of scholarly output. Journal of the American Society for Information Science and Technology, 65(5): 964-983. https://doi-org.libezproxy2.syr.edu/10.1002/asi.23007

VIEW PUBLICATION >>>

• Liu, X., Chen, M., & Qin, J. (2014). Interlinking cross language metadata using Heterogeneous graphs and Wikipedia. Dublin Core International Conference DC-2014, Austin, TX, October 8-10, 2014.

• Qin, J. & Li, K. (2013). How portable are the metadata standards for scientific data? A proposal for a metadata infrastructure. In: Dublin Core International Conference DC-2013, Lisbon, Portugal, September 2-6, 2013.

VIEW PUBLICATION >>>

• Qin, J., Ball, A., & Greenberg, J. (2012). Functional and architectural requirements for metadata: Supporting discovery and management of scientific data. Dublin Core International Conference DC-2012, Kuching, Malaysia, September 3-7, 2012.

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• Qin, J., Bratt, S., Hemsley, J., & Smith, A.O. (2023). High performers emerged from data-to-knowledge pathways. In: 2nd International Conference of Science of Science & Innovation, June 26-28, 2023, Evens, IL. 

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• Qin, J., A. Leathers, & V. Tompkins. (2020). Linking Mechanisms in Data Repositories: A Case Study of BioSample Database. In: Proc. Assoc. Info. Sci. Tech. https://doi-org.libezproxy2.syr.edu/10.1002/pra2.365

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• 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. 

• Qin, J., Costa, M., & Wang, J. (2015). Methodological and technical challenges in big scientometric data analytics. iConference 2015, Newport Beach, CA, March 24-27, 2015. http://hdl.handle.net/2142/73756 

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• 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. Poster presentation.

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• Qin, J., Costa, M., & Wang, J. (2014). Attributions from data authors to publications: Implications for data curation. The 9th International Digital Curation Conference, 24-27 February 2014, San Francisco. Poster presentation.

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• Qin, J. 2021. Evaluating the Impact of Collaboration Enablers through Metadata Analytics. JDIS Conference, June 21-23, 2021.

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• Jeff Hemsley wins ASIS&T’s 2014 Annual Book Award. https://news.syr.edu/blog/2014/11/07/hemsleys-going-viral-wins-annual-asist-book-award-31453/

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• Jian Qin Wins 2020 LITA/OCLC Kilgour Research Award. https://www.ala.org/lita/awards/kilgour

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