Donate Your Data for Health

by Penn Medicine

ID: c0b87e00-d562-4262-8781-85611e98614d

Share your digital data to help Penn Medicine researchers understand health.

Data Types

Health data Wearable data Social media data Search history

Availability

Worldwide

Compensation

💵 Payment

Entity Type

Academic / Academic

Based In

United States (US)

References

J.C. Eichstaedt, R.J. Smith, R.M. Merchant, L.H. Ungar, P. Crutchley, D. Preoţiuc-Pietro, D.A. Asch, & H.A. Schwartz, Facebook language predicts depression in medical records, Proc. Natl. Acad. Sci. U.S.A. 115 (44) 11203-11208, (2018).
Grande D, Mitra N, Marti XL, et al. Consumer Views on Using Digital Data for COVID-19 Control in the United States. JAMA Netw Open. 2021;4(5):e2110918

Open Data & Metadata

Persistent Identifier

https://yourselftoscience.org/resource/c0b87e00-d562-4262-8781-85611e98614d

Use this permanent ID for stable linking in research papers and dataset integrations.

Linked Open Data

View Full Catalogue Dataset Download resources.json