Trauma-Informed Data Donation: Integrating Expert and Donor Perspectives on Designing Against Re-Traumatization During Collection of Sexual Violence Data
Year: 2026
Type: conference-paper
Abstract: Data donation has received attention as a more consensual means of collecting personal data for scientific inquiry and AI technology. Yet the nature of data often donated–such as harmful online messages and menstrual tracking logs–carries risk of retraumatization (the forced reliving of traumatic experience). While the well-being of data donors is considered in prior work, approaches to retraumatization remain ad hoc. We present Trauma-Informed Data Donation (TIDD): a context-specific, exploratory design framework for adapting the Trauma-Informed Approach (TIA) from the Public Health domain to data donation. TIDD was the product of a 2-year research through design process with experts on sexual violence and trauma, and observational interviews of data donors. We use a case study applying TIDD to our custom data donation platform, Ube, as an invitation for designers to consider how TIDD could be used as a malleable foundation for donation of data associated with other forms of trauma.
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: National Science Foundation
Awards: Collaborative Research: HCC: Small: Understanding Online-to-Offline Sexual Violence through Data Donation from Users, CAREER: Designing, Developing, and Evaluating Consent Technologies to Reduce Unwanted Interpersonal Behavior, Collaborative Research: HCC: Small: Understanding Online-to-Offline Sexual Violence through Data Donation from Users
OpenAlex ID: W7164562779