Webinar // The Challenges of Data Reproducibility 

The reproducibility crisis reflects the difficulties scientists face in replicating research results.  

It was around the turn of the 2000s that a resurgence of these challenges was observed within the scientific community (2005, John P.A. Ionnidis). This crisis, which persists to this day, has led scientists to question their practices regarding integrity, openness, and the management of research data and scientific publications.  

Gabriel Bayle, Ph.D. in Economics and a member of the Group for Economic Analysis and Theory (GATE, CNRS, Université Lumière Lyon 2), actively advocates for greater reproducibility of research results, particularly through replication studies, open data, pre-registration of studies, and the use of experimental protocols.

As part of UM’s Open Science policy, UM’s research support team is launchinga series of webinarsfor the scientific community.

Theseshortworkshops(20 to 40 minutes of presentation followed by a discussion period) will alternate between theoretical presentations and practical demonstrations on Open Science, scientific publications, and research data.