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 about the reliability of scientific knowledge. It is an epistemological...