🚀 Ready to take on the challenge of science? Check out our new MOOC “Reproducible Research II”!

Making your research reproducible means taking up the new challenge of science to improve its results!

Following the success of the MOOC “Reproducible research: methodological principles for transparent science”, which is bilingual French-English, the authors continue on the same theme, dealing more specifically with the issues of massive data and the complex calculations associated with them. These two MOOCs complement each other and offer a coherent training program on the subject.

This online training course “Reproducible Research II: Practices and tools for managing computations and data ” is aimed at all you PhD⸱es, PhD’ s, researchers, master students, teachers, engineers from all disciplines. It is now available on the FUN platform, in English only. All the content is accessible from the launch on 16 May 2024, with the possibility of obtaining an Open Badge on request. You can therefore follow the course at your own pace, according to your needs, with an estimated time of 35 hours.

Arnaud Legrand , computer science researcher (CNRS/LIG, Inria, UGA), Christophe Pouzat , neurophysiologist (CNRS/IRMA, Univ. of Strasbourg), Konrad Hinsen , Biophysicist (CNRS, Centre for Molecular Biophysics, Soleil) as well as Matthieu Simonin, Ludovic Courtès et Kim tâm Huynh , research engineers at Inria, will show you:

  • how to improve your practices for managing large data and complex computations in controlled software environments;
  • how to use formats like JSON, FITS, and HDF5, platforms like Zenodo and Software Heritage, tools like git-annex, docker, singularity, guix, make, and snakemake;
  • how to integrate them in a real-life use case: a sunspot detection study.

You will see for yourself that our methods and tools allow you to work in a reliable and reproducible way.

The strength of this new MOOC lies in a general and systematic presentation of the major concepts and of how they translate into practical solutions through numerous hands-on sessions with state-of-the-art open-source tools. This course has been produced with the support of the French National Fund for Open Science (Fonds national de la science ouverte).

ℹ️ Useful information:


Divided into three parts, we talk about: :

  • data management issues
  • software environment issues
  • how to deal with issues arising when computations become more complex

Each part includes videos to explain the main concepts and tools, exercises, practical sessions for each tool we present and access to the forum to share your experiences and interact with the pedagogical team and other participants.

Probably not all of the three topics will readily appear to you as essential for your daily practice. That’s fine! You can perfectly dig into one of the modules and grab just the information you need but we hope you will appreciate the complementarity of those three topics after having seen them all.

To see the course description and register now , follow the link to the FUN platform

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