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This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (1407) Quality/Credibility of eHealth Information and Trust Issues (945) Theoretical Frameworks and Concepts (558) Security and Privacy of mHealth and uHealth (216) Digital Health Reporting Standards, Quality and Transparency in e-Research (224)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/102537, first published .
Team discusses Representational Veracity, models, and targets on a screen.

Representational Veracity in Data Science Health Research: Targets, Proxies, Labels, and Descriptors

Representational Veracity in Data Science Health Research: Targets, Proxies, Labels, and Descriptors

Authors of this article:

Clement Adebamowo1, 2 Author Orcid Image ;   Sally N Adebamowo1, 2 Author Orcid Image ;   Adeola Akintola3 Author Orcid Image ;   Peter Ikhane2, 4 Author Orcid Image ;   Simisola Akintola4, 5 Author Orcid Image ;   Temidayo Ogundiran3, 4, 6 Author Orcid Image ;   Ayodele Jegede4, 7 Author Orcid Image ;   Olusegun Adeyemo3 Author Orcid Image ;   Shawneequa Callier8 Author Orcid Image ;   Muhammad K Imam-Tamim9 Author Orcid Image ;   Ibrahim Uthman10 Author Orcid Image ;   BridgELSI Project as part of DSI Africa Consortium11
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