Register for the MOOC “Reproducible Research II”!

The course is structured as 3 independent modules :

• Module 1: Managing data
• Module 2: Managing software
• Module 3: Managing computations

In this MOOC, we will show you how to improve your practices for managing large data and complex computations in controlled software environments:

• you will learn 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;
• we will show you 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 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.

Based on the feedback from the first session, a lot of material has been added for this second one:

• quizzes that accompany the course videos
• abstracts for all units, to help learners decide whether to engage with it, and to judge the difficulty of the exercises
• a mind map to assist with course navigation
• a revision of the exercises that had a high failure rate

Registration opens on March 20, 2025 and closes on September 3, 2025.

This MOOC was produced with the support of the National Fund for Open Science and was prepared by six authors: Arnaud Legrand (CNRS), Christophe Pouzat (CNRS), Konrad Hinsen (CNRS), Matthieu Simonin (Inria Center at the University of Rennes), Ludovic Courtès (Inria Center at the University of Bordeaux), and Kim Tâm Huynh (Inria Paris Centre).