CONF Fornaroli_PDC_2026/IDIAP DDialogue: A Collaborative Framework for Cross-Sectoral Dialogue through Data Fornaroli, Alessandro Annapureddy, Ravinithesh Gatica-Perez, Daniel Collaborative Data Analysis Cross-Sector Collaboration Data Literacy Workshop EXTERNAL http://publications.idiap.ch/attachments/papers/2026/Fornaroli_PDC_2026.pdf PUBLIC Participatory Design Conference 2026, , June 15--19, 2026, Milan, Italy 1: Full Papers 979-8-4007-2105-2/2026/06 2026 ACM 10.1145/3796624.3796665 doi In tackling complex societal issues, cross-sector collaboration within interdisciplinary teams can leverage the diverse expertise of individuals from various organizations. Concurrently, data-driven methods are increasingly central to effective decision-making. However, there is a notable gap in research at the intersection of cross-boundary collaboration and participatory data analysis. To address this, we propose \textit{DDialogue}, a conceptual framework designed to facilitate collaborative data analysis within cross-sector partnerships, while simultaneously enhancing data literacy skills among stakeholders. The \textit{DDialogue} framework is instantiated as a workshop composed of nine sessions, each with a specific purpose, leading to the co-creation of outputs aimed at tackling complex issues. The framework was tested through a pilot workshop and a fully implemented workshop addressing the problem of juvenile delinquency in Turin, Italy. These activities yielded formative evidence suggesting that \textit{DDialogue} can be a useful tool for researchers or practitioners who seek to engage diverse stakeholders from different sectors and with varying levels of data literacy in data-driven projects. Participant feedback highlighted the framework’s adaptability and its potential to support data-informed collaboration.