Privacy-preserving federated analysis and harmonisation of heterogeneous datasets in NFDI4Health

Introduction: In Germany, cohort studies produce phenotypically rich but heterogeneous datasets that capture various aspects of the population's health and lifestyle. Combining and jointly analysing these datasets may enable large scientific opportunities by enhancement of statistical power, broadening [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds042
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00
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article

Privacy-preserving federated analysis and harmonisation of heterogeneous datasets in NFDI4Health

German Medical Science (German Research Foundation)
Health, Environment, Cognitive Aging
article

Privacy-preserving federated analysis and harmonisation of heterogeneous datasets in NFDI4Health

article en

Abstract

Introduction: In Germany, cohort studies produce phenotypically rich but heterogeneous datasets that capture various aspects of the population's health and lifestyle. Combining and jointly analysing these datasets may enable large scientific opportunities by enhancement of statistical power, broadening [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
University of Bonn (DE), University of Potsdam (DE), Max Delbrück Center (DE), Humboldt-Universität zu Berlin (DE), German Institute of Human Nutrition (DE)
Openalex Percentile: Top 40%
Health, Environment, Cognitive Aging
DOIOpen Access PDFOpenAlex
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Privacy-preserving federated analysis and harmonisation of heterogeneous datasets in NFDI4Health · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS