Health Data Nexus: an open data platform for AI research and education in medicine

We outline the development of the Health Data Nexus, a data platform that enables data storage and access management with a cloud-based computational environment. We describe the importance of this secure platform in an evolving public-sector research landscape that utilizes significant quantities of data, particularly clinical data acquired from health systems, as well as the importance of providing meaningful benefits for three targeted user groups: data providers, researchers, and educators. We then describe the implementation of governance practices, technical standards, and data security, and the privacy protections needed to build this platform, as well as example use-cases highlighting the strengths of the platform in facilitating dataset acquisition, novel research, and hosting educational courses, workshops, and datathons. Finally, we discuss the key principles that informed the platform's development, highlighting the importance of flexible uses, collaborative development, and open-source science.

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Publication Details

Journal
GigaScience
Published
2025-01-01
DOI
https://doi.org/10.1093/gigascience/giaf050
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

Health Data Nexus: an open data platform for AI research and education in medicine

Alistair E. W. Johnson, Jane Adams, Benjamin Haibe‐Kains, David Rotenberg et al.
2 citations
GigaScience
Artificial Intelligence in Healthcare and Education
1.31
article

Health Data Nexus: an open data platform for AI research and education in medicine

Alistair E. W. Johnson, Jane Adams, Benjamin Haibe‐Kains, David Rotenberg, Muhammad Mamdani, Tom Pollard, Rafal Cymerys, Karol Szuster, Daniel Hekman, Zoryana Salo, Rutvik Solanki, Katarzyna Ryniak
article en
2 citations

Abstract

We outline the development of the Health Data Nexus, a data platform that enables data storage and access management with a cloud-based computational environment. We describe the importance of this secure platform in an evolving public-sector research landscape that utilizes significant quantities of data, particularly clinical data acquired from health systems, as well as the importance of providing meaningful benefits for three targeted user groups: data providers, researchers, and educators. We then describe the implementation of governance practices, technical standards, and data security, and the privacy protections needed to build this platform, as well as example use-cases highlighting the strengths of the platform in facilitating dataset acquisition, novel research, and hosting educational courses, workshops, and datathons. Finally, we discuss the key principles that informed the platform's development, highlighting the importance of flexible uses, collaborative development, and open-source science.

GigaScienceVol. 14
University Health Network (CA), Centre for Addiction and Mental Health (CA), University of Toronto (CA), Princess Margaret Cancer Centre (CA), Artificial Intelligence in Medicine (Canada) (CA), Massachusetts Institute of Technology (US)
Partnerships for the goals
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.31
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Health Data Nexus: an open data platform for AI research and education in medicine — Alistair E. W. Johnson, Jane Adams, et al. · GigaScience (2025) | TGRS Research Map | TGRS