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BioinformaticsGigaScience
Peer-reviewed journal article

Open Humans: A platform for participant-centered research and personal data exploration

Bastian Greshake TzovarasiD, Misha H. AngristiD, Kevin J. ArvaiiD, Mairi Dulaney, Vero Estrada-GaliñanesiD, Beau GundersoniD, T. HeadiD, Dana Michelle LewisiD, Oded NoviD, Orit ShaeriD, Athina TzovaraiD, Jason R BobeiD, Mad Price BalliD

Abstract

BackgroundMany aspects of our lives are now digitized and connected to the internet. As a result, individuals are now creating and collecting more personal data than ever before. This offers an unprecedented chance for human-participant research ranging from the social sciences to precision medicine. With this potential wealth of data come practical problems (such as how to merge data streams from various sources), as well as ethical problems (such as how to best balance risks and benefits when enabling personal data sharing by individuals).\n\nResultsTo begin to address these problems in real time, we present Open Humans, a community-based platform that enables personal data collections across data streams, giving individuals more personal data access and control of sharing authorizations, and enabling academic research as well as patient-led projects. We showcase data streams that Open Humans combines (e.g. personal genetic data, wearable activity monitors, GPS location records and continuous glucose monitor data), along with use cases of how the data facilitates various projects.\n\nConclusionsOpen Humans highlights how a community-centric ecosystem can be used to aggregate personal data from various sources as well as how these data can be used by academic and citizen scientists through practical, iterative approaches to sharing that strive to balance considerations with participant autonomy, inclusion, and privacy.

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