Data donation as an engine for passive sensing research in psychiatry
Passive sensing research in psychiatry often yields only small effects due to reliability and heterogeneity issues caused by underpowered, unrepresentative samples. We argue that patient-driven data donation, leveraging widespread health self-tracking, offers an innovative complementary method for collecting larger, more diverse data-sets and improving the validity of inferences from passive measures.
Authors
- Philipp Herzog (ORCID: https://orcid.org/0000-0002-8267-2083)
- Sylvie Blairy (ORCID: https://orcid.org/0000-0002-2761-2264)
- Philip Santangelo (ORCID: https://orcid.org/0000-0003-2733-701X)
Institutions
- University of Liège (BE)
- University of Luxembourg (LU)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Journal
- The British Journal of Psychiatry
- Published
- 2026-11-06
- DOI
- https://doi.org/10.1192/bjp.2026.10878
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00