The lack of reproducibility of much scientific research pointed out in 2009 by D. Donoho and many other researchers has consequences not only on the credibility of the results, but also it has a very direct and negative impact in aspects such as public health, safety, or security. There's a consensus on the benefits of reproducibility, but only a minority of researchers are fully committed. We'll review some of the reasons why, and think about how reproducible research could be encouraged and rewarded.

From a practical point of view, we'll discuss good practices both to write and review reproducible scientific articles. To this purpose we'll review good practices related to the execution environments of the software, the versioning of the code, the FAIR principles for data, formats, standards, and the quality of the source code itself