This repository contains the code behind the website on Testing in Research Workflows, developed as part of the STARS project. (Sharing Tools and Artefacts for Reproducible Simulation). The materials help researchers integrate testing practices into their workflows, with guidance on testing in Python and R.
These resources are used in HDR UK's RSE001 Research Software Engineering training course ('Testing in Research Workflows' module), but are also intended as a reusable, open educational resource for the wider research software community.
You can view the website here: https://pythonhealthdatascience.github.io/stars-testing-intro/
For an explanation of how this site is set up and quality-controlled, please see CONTRIBUTING.md.
This work is shared:
- Code licence - MIT
- Text licence - CC-BY-SA 4.0
To cite this work, see the CITATION.cff file in this repository or use the "Cite this repository" button on GitHub.
This repository is archived on Zenodo - DOI: 10.5281/zenodo.18311754.
This project is supported by the Medical Research Council [grant number MR/Z503915/1].