This presentation at AAAS' 2015 Annual Meeting focused on how teachers and instructional materials can help students transition from working with small, student-collected datasets to large, complex, professionally collected datasets. Strategies include minimizing extraneous information and maximizing insight-rich information in the data visualizations; leveraging the skill set that students bring with them from working with self-collected data; and practicing the use of spatial, temporal and quantitative reasoning to connect claims with evidence.