Community-engaged research (CER) aspires to co-construct knowledge for action in groups that recognize people's varied expertise and engage in democratic decision making. The CER literature has chronicled these processes in small participatory collectives but is less clear on the strategies or principles that guide collaborative approaches to data analysis in research partnerships that have hundreds of contributors playing distinct roles. The purpose of this paper is to critically assess and

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... cribe strategies for co-constructing knowledge with students and teachers who participated in a study that grew out of a broader research–practice partnership. In Part I of our findings, drawing on the concept of prefigurative experiments, we discuss the collaborative practices in our research team that took shape as we prepared data claims to share with students and teachers. In Part II, we discuss sessions interpreting the data with students and teachers in which they conveyed the emotional, embodied, and relational dimensions of student voice experiences. We conclude by discussing how this effort to be accountable to and in relationship with students and teachers, while incomplete on its own, spurred the design of new practices for democratizing data analysis and knowledge production in our research–practice partnership.