Open Science Record: This resource is mapped as structured metadata within the Yourself to Science knowledge base, providing transparent information to support reproducible research and scientific discovery.
research program collecting digital health data
Data Types
Availability
Worldwide
Compensation
Financial CompensationEntity 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
Platform Visibility & Indexing
Directory Listings
This initiative is actively featured in the following public directories for citizens, patients, and researchers:
Knowledge Graph Integration
We have successfully mapped this initiative to the open science knowledge graph (the central databases powering Wikipedia, AI platforms, and institutional registries).
- Organization Record: Penn Medicine
Technical Data Assets
Persistent Identifier
https://yourselftoscience.org/resource/c0b87e00-d562-4262-8781-85611e98614d
Stable node URL for programmatic extraction.
Raw JSON Datasets
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