University of Arizona
Clarion University of Pennsylvania
M.S., Library Science
New Mexico Institute of Mining & Technology
B.S., General Studies
Gretchen Stahlman’s research interests broadly include scholarly and science communication; scientific information lifecycles; and the sociotechnical systems supporting research infrastructures, resources, and data management. Stahlman earned her Ph.D. degree from the University of Arizona in 2020, where she explored methods of identifying and managing researcher-held “long tail” data in several disciplines. Stahlman’s current projects focus on the evolving research priorities of scientific communities; science communication and information pipelines; affective and career-related influences on data sharing; and the literature as a gateway to data for researchers. The overall purpose of her present and future work is to inform open science and scholarly communication initiatives, as well as development of methods, services, and infrastructures for long-term information management and responsible data science. With more than 10 years of prior professional experience related to librarianship and information management, Stahlman has also worked in an academic library, and as a documentation specialist for the Atacama Large Millimeter/submillimeter Array (ALMA) telescope construction project.
Stahlman, G. R. (2022). From nostalgia to knowledge: Considering the personal dimensions of data lifecycles. Journal of the Association for Information Science and Technology.
Stahlman, G.R. & Heidorn, P.B. (2020). Mapping the “long tail” of research funding: A topic analysis of NSF grant proposals in the Division of Astronomical Sciences. Proceedings of the Association for Information Science and Technology, 57(1), e276.
Heidorn, P. B., Stahlman, G. R., & Steffen, J. (2018). Astrolabe: Curating, Linking, and Computing Astronomy’s Dark Data. The Astrophysical Journal Supplement Series, 236(1), 3.
Brooks, C. F., Heidorn, P. B., Stahlman, G. R., and Chong, S. S. (2016). Working beyond the confines of academic discipline to resolve a real-world problem: A community of scientists discussing long-tail data in the cloud. First Monday, 21(2).