One of key tenets of science (physics, chemistry, etc.), or at least the theoretical ideal of science, is reproducibility. Truly “scientific” results should not be accepted by the community unless they can be clearly reproduced and have undergone a peer review process. Of course, things get messy in practice for both academic scientists and data scientists, and many workflows employed by data scientists are far from reproducible.
Source: Putting the science back in data science – O’Reilly Media
