Workflow for a Reproducible Research
This post was originally published on Medium.
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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:
- Adhering to the FAIR principles — making data Findable, Accessible, Interoperable, and Reusable.
- Constructing stable computational environments to maintain consistency in...
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