The COVID-19 Data Hub project awarded the "Open Data Quality Award 2024"

The COVID-19 Data Hub project has just won the prestigious “2024 Open Data Quality Award” presented by the Canadian Open Data Community.

Initiated in 2020 by Emanuele Guidotti, PostDoc at the USI Institute of Finance and then a doctoral student at the University of Neuchâtel, and Professor David Ardia of HEC Montréal and member of the Consortium for Artificial Intelligence IVADO, this project aimed to interconnect multiple COVID-19 data sources into a unified platform.

“With the proliferation of databases, there was a need for a platform that integrated these various sources to enable comprehensive analysis,” explains David Ardia, an IVADO researcher. “Our goal was to create a tool that could establish relationships between medical information and sociopolitical factors.”

An international impact

Initially supported by IVADO funding, the project later received backing from the R Consortium (2021-2024) and USI thanks to the Call for Open Science and Open Research Data.
The platform provides researchers with a unified dataset that includes detailed epidemiological variables, policy measures compiled by Oxford, and various spatial databases.

A tool for reproducible research

The strength of the project lies in its transparency. The entire source code is available on GitHub, and the platform offers dedicated packages for R and Python.
“We have also implemented a daily data archiving system to facilitate research reproducibility,” notes Emanuele Guidotti, whom collaborators consider “the father of the project.”
The COVID-19 Data Hub has been featured in the Journal of Open Source Software (2020) and Nature’s Scientific Data (2022).

A well-deserved recognition

This award highlights the importance of open and quality data in scientific research, particularly during a global health crisis.

To access the platform: covid19datahub.io