2024-12-2920241072-552010.1145/36646302-s2.0-85197610225https://doi.org/10.1145/3664630https://hdl.handle.net/20.500.14288/22539The framework we presented here is a way to explain how self-trackers make sense of their data, translating them from numbers into meaningful insights. Understanding the data sensemaking process, however, is only the first step in designing for data sensemaking. Developing a new generation of tools that support individuals’ sensemaking practices is a significant challenge.Computer scienceInformation systemsDesigning for data sensemaking practices: a complex challengeJournal articleN/A40666