Data flow in the Luxembourg COVID-19 joint initiative: a blueprint for data-driven translational medicine

Research Square 2026 Preprint Open access

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Authors: Irina Balaur, Piyapong Khumrin, Soumyabrata Ghosh, Dmitry Bulaev, Priyanka Mendon, Kavita Rege, Milena Despotović, Sarah Peter, Rajesh Rawal, Jochen Ohnmacht, Joëlle V. Fritz, Marc Paul O’Sullivan
+8 more Carlo Haller, Vanessa Di Bartolomeo, Christophe Shinn, Rejko Krüger, Guy Fagherazzi, Paul Wilmes, Michel Vaillant, Venkata Satagopam
DOI: 10.21203/rs.3.rs-7114519/v1
Cited by: 0
References: 3

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Abstract

Abstract CoVaLux is a unique national scientific consortium studying COVID-19, vaccination, and long-term health outcomes in Luxembourg. The program combines data from multiple research initiatives in a secure environment, establishing an effective framework for data management and analysis. Here, we delineate the development of the CoVaLux data flow, addressing critical requirements and showcasing how CoVaLux can serve as a model for similar medical research projects worldwide, particularly in pandemic preparation.

Fields of Study & Subjects

Research Data Management Practices Scientific Computing and Data Management SARS-CoV-2 and COVID-19 Research

Publication details

Journal / source
Research Square
Publication date
16 March 2026
Language
EN
Document type
Preprint