Rethinking historical university records : provenance in visualization and digital humanities research
Abstract
The world’s oldest universities, including St Andrews (my case study), have started digitizing their historical student and staff records for their (in)valuable information about the ‘education-worthy’, and the institutions themselves. Current digitization comes in various forms, from scanning handwritten records and transcribing them, to applying handwritten text recognition (HTR). While text search interfaces facilitate quicker access to these collections – and protect fragile documents – they only provide a record-by-record view. By contrast, this thesis argues for representing historical university records through visualization which allows multi-perspective views on records and foregrounds their curation(s) over time by defining and showcasing the concept of Provenance-Driven Visualization (PDV). Provenance as a key parameter in the keeping of such collections has been overlooked by researchers in DH and VIS, despite emphasizing attribution as part of research ethics (trustworthiness, transparency, etc.). Even where provenance
is disclosed, it is (a) partial, (b) presented through text at collection-level, or through homogenous diagrams (hiding more complex processes), and (c) typically separated from the visualization itself (in an ‘about’ page or as diagrams). By directly addressing provenance through PDV as central to the advancement of digital curation of historical university records, this thesis develops VIS and DH research by demonstrating how visualization is itself a means for knowledge discovery as well as knowledge recovery. Main chapters develop my theoretical, ethical, and applied approach to provenance visualization (PDV) using the Biographical Records of St Andrews University 1579-1897 as an indicative case to highlight (1) added transparency (to the accuracy, representation, and ‘facts’ of such collections), (2) greater inclusion and diversity of such research, when the curatorial processes and decisions behind them are visualized (to enlarge research ethics and fuel interdisciplinary research), and (3) added critical understanding of such historical collections. Conclusions present all three as key parameters for theoretical and applied VIS and DH research.
Type
Thesis, PhD Doctor of Philosophy
Rights
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Embargo Date: 2026-02-12
Embargo Reason: Thesis restricted in accordance with University regulations. Restricted until 12 February 2026
Collections
Description of related resources
Vancisin, T., Orr, M., & Hinrichs, U. (2020). Externalizing transformations of historical documents: opportunities for provenance-driven visualization. In Proceedings - 2020 IEEE 5th Workshop on Visualization for the Digital Humanities, VIS4DH 2020 (pp. 36-42). Article 9308105 (Proceedings - 2020 IEEE 5th Workshop on Visualization for the Digital Humanities, VIS4DH 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VIS4DH51463.2020.00011Vancisin, T., Clarke, L., Orr, M., & Hinrichs, U. (2023). Provenance visualization: tracing people, processes, and practices through a data-driven approach to provenance. Digital Scholarship in the Humanities, 38(3), 1322-1339. Article fqad020. https://doi.org/10.1093/llc/fqad020
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