This Pathways to Enable Open-Source Ecosystems (POSE) project improves how researchers and clinicians use everyday technology, like smartphones, to better understand health in real-world settings. Most people carry smartphones that can collect useful information such as steps taken, sleep patterns, and phone use. This information can offer insight into a person’s well-being and has already helped researchers detect early signs of mental health problems, track recovery from surgery, and study cognitive decline. The team developed mindLAMP, the leading open-source platform for collecting health data. As more people use this technology, there is a growing need for shared guidance, support, and coordination. This project builds the foundation for a community-driven open-source ecosystem. Through interviews, surveys, and workshops, the team will identify user needs, bring developers and researchers together, and explore how to structure a sustainable and involved community. The results of this planning phase guide the future development of a shared framework, called LAMPOST, that helps more people use smartphone-based data to advance science and improve health. The primary beneficiaries will be researchers, healthcare providers, and in time, any patient whose health condition could be better understood through real-world digital data. This Pathways to Enable Open-Source Ecosystems (POSE) project addresses a core challenge in digital phenotyping research. While mindLAMP, an ope