MOOC on reproducible research computing

[italianreprodu...@gmail.com]

FYI:

A new MOOC "Reproducible Research II: Practices and tools for managing
computations and data" will be available on the FUN platform from 16 May
to 4 September 2024, in English only.

Following the success of the MOOC "Reproducible research: methodological
principles for transparent science", 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.

In this second 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 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.

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

https://www.fun-mooc.fr/en/courses/reproducible-research-ii-practices-and-tools-for-managing-comput/