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
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
Platform Discovery
This resource is actively featured in the following public directories on Yourself to Science:
Showcase your commitment to Open Science
Embed this badge on your project's website to showcase your commitment to open science and provide an official link to your public dataset record.
[](https://yourselftoscience.org/resource/c0b87e00-d562-4262-8781-85611e98614d)
Explore the Full Knowledge Graph
Yourself to Science maps the entire landscape of human contribution. Discover hundreds of other research opportunities, datasets, and platforms in our interactive Data Explorer.