University of Michigan School of Information
Alexandria Rayburn (PhD Candidate)
About
Alexandria is a doctoral candidate at the University of Michigan School of Information. Using qualitative methods, her research investigates data practices in library, archive, and museum (LAM) collections from an intersectional feminist lens. Her interest in museum and archival data comes from first-hand experience working in these collections. Before graduate school, she worked in museum collections cataloging cultural heritage collections and ephemera. She has published in Information and Culture, Archival Science, and Science Technology and Human Values (ST&HV), and more.
Personal website
CV
Dissertation title
Women in Museum Computing: Implementing Transformative Data Practices in Collection Work
Fields of interest
Archives and digital curation; library and information science; critical data studies
Education
Bachelor of Arts, Michigan State University, 2017;
Masters of Science in Information, University of Michigan School of Information, 2020
Selected publications
Rayburn A, Punzalan R, Thomer AK. (2024). Persisting through friction: growing a community-driven knowledge infrastructure. Archival Science (24): 61–82. https://doi.org/10.1007/s10502-023-09427-5
Prosper S, Rayburn A, Ramirez Y, Punzalan RL. (2024). Indigenous Digital Projects: A Proposed Assessment Framework. Journal of Information & Culture 59(1): 66-96. https://doi.org/10.7560/IC59104
Thomer AK, Rayburn A. (2023). ‘A Patchwork of Data Systems’: Quilting as an Analytic Lens and Stabilizing Practice for Knowledge Infrastructures. Journal of Science, Technology, & Human Values. https://doi.org/10.1177/01622439231175535
Rayburn A, Thomer, AK (2024). Reconstructing provenance in long-lived data systems: the challenge of paradata capture in memory institution collection databases. In: Huvila, I., Andersson, L., Sköld, O. (eds) Perspectives on Paradata. https://doi.org/10.1007/978-3-031-53946-6_9