Let's face the facts: most research is not reproducible. That means, if you run the same analysis on the same data of a (data) science project again, you will likely not receive the same results. Ups! In this talk I want to explore the stumbling blocks that (data) scientist run into and what to do about it. Spoiler: it has a lot to do with getting organized.