Fitness Data Contributor | $60/hr | Remote (US)
Contribute your real-world Apple Health data to help build a de-identified health dataset used for meaningful medical research. This is a one-time (with optional follow-up) paid contribution opportunity for individuals with qualifying health institution records linked to Apple HealthKit.
About the Project
We are building a de-identified, real-world health dataset sourced from Apple Health exports. Each contribution combines on-device HealthKit data — including activity, heart rate, and sleep — with clinical records such as immunizations, labs, medications, vitals, and clinical notes from a linked healthcare provider.
Who Qualifies
You must have visited at least one of the qualifying institutions listed below and have that institution's health records actively connected to Apple HealthKit. If your provider is not on this list, you do not qualify.
Qualifying Institutions include:
- Emory Healthcare
- Scripps Health
- Northwestern Medicine
- Cedars-Sinai Health System
- Penn Medicine
- NYU Langone Health
- Geisinger Health System
- Dartmouth Health
- Johns Hopkins Medicine
- UCSF Health
- Cleveland Clinic
- Jefferson Health
- VCU Health
- University of Chicago Medicine
- Mass General Brigham
- Mount Sinai Health System
- Henry Ford Health System
- Yale New Haven Health
- Intermountain Healthcare
- Vanderbilt University Medical Center
- Stanford Health Care
- Kaiser Permanente
- Baylor Scott & White Health
- Sutter Health
- Michigan Medicine
- UC San Diego Health
- UC Irvine Health
- UC Davis Health
- Houston Methodist
- The Ohio State University Wexner Medical Center
- And many more qualifying institutions
What You'll Do
- Fully populate your HealthKit profile — include data across every applicable category. Steps-only profiles will not qualify.
- Link your Electronic Health Record (EHR) from at least one qualifying institution via Apple's Health Records network. Records must include immunizations, lab results, medications, vitals, and clinical notes.
- Consent to share four demographic attributes: age, gender, approximate region, and activity level.
Submission Requirements
- Must be a genuine export from your own Apple Health app — no synthetic or demo data
- Must include records from at least one qualifying institution connected to Apple HealthKit
- Must show a complete profile with continuous history (not a single day of data)
- Must include a linked EHR with all four required clinical categories
- Clinical Notes are mandatory — submissions without clinical notes will not be accepted or compensated
- All four demographic attributes must be consented — no consent means no valid submission
Your Privacy
Your identity and raw health information never enter the dataset. All exports are de-identified following HIPAA Safe Harbor standards: identifiers are stripped, dates and locations are generalized, and notes are scrubbed. You receive a random ID, and the link to your identity is stored separately and never travels with the data. You may withdraw consent at any time to be fully removed.
Commitment
This is a one-time contribution per participant, with an optional re-export available later to refresh your data.
