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Creating a data ecosystem for campus climate is better for addressing campus sexual assault than relying only on large-scale, quantitative climate surveys. This case study examines the implementation of a data ecosystem as defined by Driver-Linn and Svensen (2017). Using Driver-Linn and Svenson’s framework with Hurtado et al.’s (2012) Diverse Learning Environments model, this case study uses artifacts and employee interviews to examine how employees at an institution collect and use data related to campus sexual assault, and how a data ecosystem model can be implemented to prevent and address such violence. Preliminary findings suggest that relationships between employees and departments are crucial to a data ecosystem, and we have uncovered tensions between transparency/confidentiality, perception/reality, outcomes/process, and prevention/response.