Results reproducibility

Results reproducibility is a critical issue in science. It has already been noted that in many cases, reproducing your results even after a few months (the typical time scale of the referee process) may be challenging. In most cases, it is not sufficient to have the same version of the code, but you also need precise knowledge about the input parameters used, and the same input data must be provided. Since the standard methodology in science is based on try-and-fail methods, typically, the researcher ends up with many datasets. Only a few of them are finally released for publication, while others serve as experimental runs. Under such conditions, tracking changes introduced to codes and input data in the research process becomes problematic. W-SLDA Toolkit implements a methodology that does it automatically and allows for reproducing the results (up to machine precision). Namely, the generated results are always accompanied by the reproducibility pack, where complete information needed to reproduce them is included.

For more info, see here.