Sharing of human physiological data openly is hampered by privacy concerns and proprietary software use. With our Ph-air data project, we intend to enhance the adoption of open data sharing for physiology science, by removing obstacles, providing tools, and educating the next generation of physiologist. Specifically, we aim to 1) implement synthetic datasets from human physiological data to anonymize data deeply, 2) recode physiological data pipelines from proprietary software to R and 3) build blueprints and educational tools to disseminate how to incorporate best practices for open data sharing in physiology research.