Day: 6 October 2015

ReScience: ensuring that the original research is reproducible

Reproducibility is a cornerstone of science: the results obtained by researcher A must be identical to the results obtained by researcher B provided they follow identical protocols and use identical reagents. In reality, multiple factors can lead to irreproducible results. They include poor training of researchers in experimental design; increased emphasis on making provocative statements rather than presenting technical details; and publications that do not report basic elements of experimental design. Therefore, the initiatives working on the reproducibility issues are indispensable for the scientific progress. We are happy to present this guest post by Nicolas Rougier from ReScience – a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. The ReScience initiative In March 2015, Nicolas Rougier and his colleagues published a commentary into the “Frontiers in Computational Neuroscience” journal that highlighted the difficulties they encountered when trying to replicate a model from the literature. Sources were not available on a public repository (they needed to be requested from one of the author), code was not under version control, there were some factual errors and ambiguities in the description […]