Data analyses usually entail the application of a combination of command line tools, scripts and notebooks to transform, filter, aggregate or plot data and results. In order to ensure sustained value for data analysis authors and the scientific community, an analysis has to be reproducible (for checking its technical validity), transparent (for checking its methodological validity), and...