Reproducibility in academic research (1/3): Key components of a Reproducible Research

This guide took roots from the ethos of Open Science. It is the first part of a three-parts series about reproducibility in academic research, specifically focusing on computational analysis. Any part is susceptible to changes and updates. It is based on my practices as a PhD and postdoctoral researcher in the academia and takes inspiration on DevOps and MLOps.

As a disclaimer, I make a distinction between reproducibility and replicability. In my own understanding, replication is about testing the robustness of findings across different studies and contexts, addressing broader questions...