Workflow for a Reproducible Research

Created in November 03, 2024

2024   ·   research   mlops   academia   open-science   ·   articles

This post was originally published on Medium.

Read the full article on Medium

This workflow is part of a guide about reproducibility in academic research, specifically focusing on computational analysis. It is based on my practices as a PhD and postdoctoral researcher in the academia and takes inspiration on DevOps and MLOps.

It is a companion to the second part of a three-parts series about reproducibility in academic research, specifically focusing on computational analysis.

In the first part of this series, we identified two key pillars of reproducibility:

  1. Adhering to the FAIR principles — making data Findable, Accessible, Interoperable, and Reusable.
  2. Constructing stable computational environments to maintain consistency in...


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