Participatory Data Governance in Practice

Read full text
Authors: Jovan Powar, Emma Kallina, Anna Ida Hudig, Jatinder Pal Singh, Lin Kyi, Heleen Janssen, Genevieve Macfarlane Smith, Renwen Zhang
Cited by: 1
References: 35

Abstract

Participatory data governance is a broad field of study concerned with institutions and mechanisms which involve communities in decisions about and use of data. Within this broader field, structural approaches to participatory data governance—such as data trusts, cooperatives, and other intermediaries—are gaining in prominence among researchers, practitioners, and policymakers. However, most existing work emphasizes the legal and structural design of these models, and overlooks the most crucial factor to these initiatives’ success: the participatory methods through which affected communities are meaningfully engaged and empowered to shape data use. This workshop introduces the CHI community to this emerging field. By connecting established HCI expertise in areas such as transparency, accountability, co-design, and governance to the socio-legal frameworks and growing practice of participatory data intermediaries, the workshop seeks to build a sustained research agenda towards concrete methods for participatory governance in diverse contexts. In doing so, we aim to accelerate the adoption of participatory models of data governance.

Fields of Study & Subjects

Research Data Management Practices Data Analysis and Archiving Data Quality and Management

Publication details

Journal / source
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–6
Publication date
13 April 2026
Language
EN