Scientific magazines & reproducibility
One cannot help but notice that science is suffering from a reproducibility crisis. The problem is not only the subject of academic considerations, but much more global. The inability of scientists to recreate and reproduce one anothers’ results increases demands on resources and drives up research costs as well as their time consumption. Mikołaj Malec, Maciej Paczóski and Bartosz Rożek explored this subject in their article.
First look at the article The article titled ML Case Studies: Ways to reproduce articles in terms of release date and magazine, describes well some new approach to the issue, taking under consideration three well known scientific journals: R Journal, JMLR Machine Learning Open Source Software and Journal of Statistical Software.