I'm a biomedical researcher specializing in chronobiology and circadian time-series analysis. I'm developing cosinor-based algorithms for circadian phenotyping and chronotherapy optimization at the individual level, and I'm at the point where population-scale data would meaningfully improve model calibration.
Apple Health's longitudinal passive sensor streams — particularly HRV, sleep staging, resting heart rate, and activity cadence — are well-suited to this kind of work. My question is whether Apple has an established pathway for academic researchers to access aggregate or privacy-preserving representations of Health data (e.g., via differential privacy or federated computation), and if so, what the eligibility and process look like.
Hi Chase, thanks for reaching out. We have an offering, the Study App Template, that may be a great fit for your longitudinal research. It lets you deploy a digital health research study app to participants with no coding required — you can build a consent and onboarding flow, choose which health and sensor data types to collect, and pair it with a server to monitor participants in real time. For more information on the tool and how to apply, see this link.
