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In this NSF-funded project, we administered the Teacher Data Use Survey to 4,941 educators across 50 school districts in one county in the Northeast United States, including teachers, principals, and instructional support staff. As part of the project we provided the TDUS in a SurveyMonkey framework, and then created a data pipeline that automatically generates overall and individual district and school report dashboards in the open access R software. Additionally, we applied Latent Class Analysis (LCA) to examine the extent to which there are multiple significantly different types of responders to the TDUS, identifying four different subgroups: High Data Use with Collaboration and Action (24.2%), Data with Low Collaboration (27.8%), Data Forward (25.5%) who take action primarily with classroom-focused data, and Individual Classroom Focus (22.5%) educators who are least likely to report using and feeling supported in data use.