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

Title: Health Data Nexus: an open data platform for AI research and education in medicine
Authors: Adams, January; Cymerys, Rafal; Szuster, Karol; Hekman, Daniel; Salo, Zoryana; Solanki, Rutvik; Mamdani, Muhammad; Johnson, Alistair; Ryniak, Katarzyna; Pollard, Tom; Rotenberg, David; Haibe-Kains, Benjamin
Source: GigaScience ; volume 14 ; ISSN 2047-217X
Publisher Information: Oxford University Press (OUP)
Publication Year: 2025
Description: 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.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1093/gigascience/giaf050
DOI: 10.1093/gigascience/giaf050/63425606/giaf050.pdf
Availability: https://doi.org/10.1093/gigascience/giaf050; https://academic.oup.com/gigascience/article-pdf/doi/10.1093/gigascience/giaf050/63425606/giaf050.pdf
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.28BC241F
Database: BASE