Rhiannon Bettivia defends dissertation

Doctoral candidate Rhiannon Bettivia successfully defended her dissertation, "Encoding Power: The Scripting of Archival Structures in Digital Spaces using the Open Archival Information System (OAIS) Reference Model," at GSLIS on April 28.

Her committee includes Jerome McDonough (chair and research director; associate professor, GSLIS); Kevin Hamilton (professor, School of Art and Design); Anita Say Chan (assistant professor, Department of Media and Cinema Studies); and Kari Kraus (associate professor, information studies and english, University of Maryland).

Abstract: The Open Archival Information System (OAIS) Reference Model is a cornerstone of the evolving discipline of digital preservation. It undergirds many of the systems that are used in daily practice in organizations engaging in digital preservation, and directly or indirectly influences commercial and open source tools, as well as administrative and personnel functions. Yet it also undergirds the field of digital preservation more generally as its design and revisions have taken place concurrent and in partnership with the growth of the profession into one that has boundaries, curricula, and standards of practice. There is closure around OAIS: it is ever assumed as background or foundational knowledge in new endeavors. It is a black box. Given the pervasiveness of OAIS, this research examines the values scripted into the sociotechnical object it represents. Using discourse analysis, this research traces the power relationships that arise as a result of the discourses that OAIS produces. It also explores the effects on professional practice that occur because of the discourses OAIS brings with it from its scientific origins and archive-informed terminology. The dissertation investigates terms like “designated community” and “significant properties” in order to lay bare the imperial tendencies scripted within OAIS as well as to expose the resistive and recuperative potential of this technology.

Bettivia’s research is in the area of digital preservation with a particular focus on film, games, and time-based media art. Her work looks at documenting context for media objects and documenting properties that are not intrinsic to an object's code but still essential to long-term understanding. She looks critically at the development of new archival practice to examine social and political implications of digital preservation tools.

At GSLIS, Bettivia has taught courses on digital preservation; libraries, information, and society; and metadata. She holds a master’s degree in education from Pace University and a bachelor’s degree in philosophy from Columbia University.

Tags:
Updated on
Backto the news archive

Related News

SafeRBot to assist community, police in crime reporting

Across the nation, 911 dispatch centers are facing a worker shortage. Unfortunately, this understaffing, plus the nature of the job itself, leads to dispatchers who are often overworked and stressed. Meanwhile, when community members need to report a crime, their options are to contact 911 for an emergency or, in a non-emergency situation, call a non-emergency number or fill out an online form. A new chatbot, SafeRBot, designed and developed by Associate Professor Yun Huang, Informatics PhD student Yiren Liu, and BSIS student Tony An seeks to improve the reporting process for non-emergency situations for both community members and dispatch centers.

Yun Huang

New digital collection sheds light on queer nightlife in Champaign County

Adam Beaty decided to pursue an MSLIS degree to combine his love of history, the arts, and community-centered spaces. This combination of interests culminated in a 244-item digital collection that showcases digitized materials depicting nearly thirty years of queer nightlife in Champaign County. 

Adam Beaty_headshot

Get to Know Deekshita Karingula, MSIM Student

After graduation, Deekshita Karingula would like to build data pipelines, automate workflows for greater efficiency, and use data to transform healthcare. She views the MSIM program as the "ideal way" to connect her computer science and technical skills with data management skills, helping her reach her goals.

Deekshita Karingula

Wang group to present at BigData 2024

Members of Associate Professor Dong Wang's research group, the Social Sensing and Intelligence Lab, will present their research at the 2024 IEEE International Conference on Big Data (BigData 2024), which will be held from December 15-18 in Washington, D.C. BigData 2024 is the premier venue to present and discuss progress in research, development, standards, and applications of topics in artificial intelligence, machine learning and big data analytics.

Dong Wang