Beiwe Research Platform
| Original author(s) | Onnela Lab at Harvard T.H. Chan School of Public Health, Professor Jukka-Pekka Onnela |
|---|---|
| Developer(s) | Zagaran, Rocket Farm |
| Stable release | 1.3.0 (iOS) and 2.2.3 (Android)
|
| Written in | Web dashboard: HTML, Javascript; Back-end and data analysis pipeline: Python, R, Javascript; Android client: Java; iOS client: Swift, Objective-C |
| Engine | |
| Operating system | iOS and Android |
| License | 3-clause BSD license |
| Website | wiki |
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The Beiwe Research Platform for high-throughput smartphone-based digital phenotyping is one of a class of mobile phone based sensing softwares.
Beiwe was developed to enable collection of raw sensor and phone use data to allow for maximum replicability and validation of biomedical research.[1] It is an open-source (under 3-clause BSD license) research platform which includes three main components: iOS and Android smartphone applications for data collection, a web-based research portal for study management and a cloud-based data analysis pipeline.
It was developed by the Onnela Lab at the Harvard School of Public Health between 2013 and 2018 with funding from a U.S. National Institutes of Health (NIH) Director’s New Innovator Award to Jukka-Pekka Onnela.[2].
The platform is named after Beaivi, the solar deity of the Sami people.
References[edit]
- ↑ Torous, John; Kiang, Mathew V.; Lorme, Jeanette; Onnela, Jukka-Pekka (2016). "New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research". JMIR Mental Health. 3 (2): e16. doi:10.2196/mental.5165. PMC 4873624. PMID 27150677.
- ↑ "JP Onnela wins NIH Director's New Innovator Award". News. 2013-10-02. Retrieved 2017-06-27.
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