Publications

Fan, L., Lafia, S., Wofford, M., Thomer, A., Yakel, E., and Hemphill, L. (accepted). Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic Literature. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL).

Lafia, S., Thomer, A., Moss, E., Bleckley, D., & Hemphill, L. (2023). How and Why do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles. Data Science Journal (DSJ). doi:10.5334/dsj-2023-010

Thomer, A., Akmon, D., York, J., Tyler, A.R.B., Polasek, F., Lafia, S., Hemphill, L., & Yakel, E. (2022). The Craft and Coordination of Data Curation: Complicating Workflow Views of Data Science. Proceedings of the ACM on Human Computer Interaction (PACM HCI). doi:10.1145/3555139.

Lafia, S., Fan, L., Thomer, A., & Hemphill, L. (2022). Subdivisions and Crossroads: Identifying Hidden Community Structures in a Data Archive’s Citation Network. Quantitative Science Studies (QSS). doi: 10.1162/qss_a_00209.

Lafia, S., Fan, L., & Hemphill, L. (2022). A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature. Proceedings of the Association for Information Science and Technology (ASIS&T). doi:10.1002/pra2.614.

Hemphill, L., Pienta, A., Lafia, S., Akmon, D., * Bleckley, D. (2022). How do Properties of Data, Their Curation, and Their Funding Relate to Reuse? Journal of the Association for Information Science and Technology (JASIST). doi:10.1002/asi.24646.

Lafia, S., Thomer, A., Bleckley, D., Akmon, D., & Hemphill, L. (2021). Leveraging Machine Learning to Detect Data Curation Activities. In Proceedings of 17th IEEE eScience 2021, Innsbruck, Austria, September 20-23. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eScience51609.2021.00025.

Presentations

Bleckley, D., Lafia, S., & Hemphill, L. (2023) Describing Data Transformation Work in a Changing Data Curation Community RDAP Summit 2023: Online.

Moss, E. & Lafia, S. (2022) Expanding the ICPSR Bibliography of Data-related Literature to Study Communities of Data Reuse ICPSR Data Fair: Online.

Fan, L., Lafia, S., & Hemphill, L. (2022). Librarian in the Loop: A Natural Language Processing Paradigm for Detecting Informal Mentions of Research Data in Academic Literature CHI 2022 Workshop: Online.

Lafia, S., Moss, E., Burchart, S., Palvolgyi-Polyak, E., & Banaeefar H. (2021). From Dataset Detection to Instructional Resources: ICPSR Bibliography. ICPSR Biennial Meeting: Online.

Lafia, S., Thomer, A., Bleckley, D., Akmon, D., & Hemphill, L. (2021). Analyzing Data Curation Work at a Social Science Archive with Machine Learning. RI4WebSci Workshop: Online.

Lafia, S., Moss, E., Bleckley, D., Thomer, A., & Hemphill, L. (2021). Detecting Informal Indicators of Research Data Reuse in Scientific Publications. Text as Data (TADA): Online.

Lafia, S. (2020). LIBER Webinar: Measuring the Impacts of Curatorial Actions on Research Data Reuse at ICPSR. LIBER Europe Webinar Series. Online.

Hemphill, L. (2020). Introducing MICA: Measuring the Impacts of Curatorial Actions Project. Blalock Lecture Series, ICPSR Summer Program in Quantitative Methods in Social Science, Ann Arbor, MI.

Hemphill, L. (2019). What Difference Does Curation Make? Introducing MICA: Measuring the Impacts of Curatorial Actions. iSchool Data Curation Week, University of Wisconsin-Madison, Madison, WI.

Posters

Banaeefar, H., Burchart, S., Moss, E., Palvolgyi-Polyak, E. (2022) Best Practice May Not Be Enough: Variation in Data Citation Using DOIs IASSIST 2022: Online.

Lafia, S. (2022). Relating Data Reuse to Curation Decisions and Funding Models RDAP Summit 2022: Online.

Lafia, S., Moss, E., Thomer, A., & Hemphill, L. (2021). Detecting Informal Data Use in Literature FORCE11: Online.

Lafia, S., Thomer, A., Hemphill, L., Akmon, D., Bleckley, D., Pienta, A., & Yakel, E. (2021). How Does Data Curation Impact Discovery? ESIP Winter Meeting: Online.

Lafia, S. (2020). Supporting Interdisciplinary Research Reviews with Multi-Level Topic Maps.. MIDAS - Michigan Institute for Data Science Symposium: Online.

Akmon, D., Lafia, S., Thomer, A., Hemphill, L., Pienta, A., Yakel, E., Bleckley, D., & Tyler, A. (2020). Measuring and Improving the Efficacy of Curation Activities in Data Archives. Research Data Alliance Plenary: Online.