Developing a prototype for federated analysis to enhance privacy and enable trustworthy access to COVID-19 research data

Creating federated networks requires extensive investment from a data governance, technology, training, resources, timing and funding perspective. For future initiatives, the establishment of a federated network should be built into medium to long term plans to provide researchers with a secure and robust data analysis platform to perform joint multi-site collaboration. Federated networks can unlock the enormous potential of national and international health datasets through enabling collaborative research that addresses critical public health challenges, whilst maintaining privacy and trustworthiness by preventing direct access to the source data.

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Institutions

Publication Details

Journal
International Journal of Medical Informatics
Published
2024-11-20
DOI
https://doi.org/10.1016/j.ijmedinf.2024.105708
Citations
2
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.69

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article

Developing a prototype for federated analysis to enhance privacy and enable trustworthy access to COVID-19 research data

Simon Thompson, Amy Racine, Sarah Rees, Meredith Brockway et al.
2 citations
International Journal of Medical Informatics
Privacy-Preserving Technologies in Data
0.69
article

Developing a prototype for federated analysis to enhance privacy and enable trustworthy access to COVID-19 research data

Simon Thompson, Amy Racine, Sarah Rees, Meredith Brockway, Meghan B. Azad, Hamed Ghanbariadolat, Eoghan Forde, Aziz Sheikh, Nicole Fiorentino, Rachel Mulholland, Matthew Retford, David Ford, Clara Calvert, Karen J. Hunter, Sarah J. Stock, Jonas Häggström, Jessica E. Miller, Cynthia McNerney, David Burgner, Solmaz Eradat Oskoui, Natalie Rodriguez, Sharon Heys, Rodrigo Barnes, Chris Orton, Neil Postlethwaite, Helga Zoëga, Anne Wozencraft, Julie Kennedy, Jeffrey Peng
article en
2 citations

Abstract

Creating federated networks requires extensive investment from a data governance, technology, training, resources, timing and funding perspective. For future initiatives, the establishment of a federated network should be built into medium to long term plans to provide researchers with a secure and robust data analysis platform to perform joint multi-site collaboration. Federated networks can unlock the enormous potential of national and international health datasets through enabling collaborative research that addresses critical public health challenges, whilst maintaining privacy and trustworthiness by preventing direct access to the source data.

International Journal of Medical InformaticsVol. 195
University of London (GB), Royal Children's Hospital (AU), University of Iceland (IS), Alberta Children's Hospital (CA), Swansea University (GB), London School of Hygiene & Tropical Medicine (GB), Children's Hospital Research Institute of Manitoba (CA), Health Data Research UK (GB), Aridhia (United Kingdom) (GB), University of Manitoba (CA), Cytel (United States) (US), University of Edinburgh (GB)
Bill and Melinda Gates Foundation, Wellcome Trust, Swansea University, University of New South Wales, Minderoo Foundation, Medical Research Council
Openalex Percentile: Top 23%
Privacy-Preserving Technologies in Data
0.69
DOIOpen Access PDFOpenAlex
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