Personal data from diverse sensors plays a key role in persuasive systems, especially those aiming to help people achieve long term goals. We need to gain an understanding of the ways people would like to capture and manage such data. We report the design and outcomes of a study exploring how people want to keep and control sensor data for long term health goals. We asked about three sensors, for weight, activity and sitting. We chose these for their diversity in terms of tracking progress on
goals, short and long term goals and differing sensitivity of the data. Our results show that people want to
a personal copy of such data and their preferences vary across different sensors. This points to the need for future persuasive systems to support these forms of user control over their sensor data.