About this event#
Do you spend a lot of time using programming to analyse your data, develop workflows, build models, or create visualisations?
This episode focused on steps to take to ensure your code enables reproducibility in your research project. We explored a variety of topics ranging from easily implementable, small changes that can make a huge difference (such as having a good directory structure), to more complex practices like the use of containers to manage versions and dependencies.
Useful resource: CodeRefinery lesson on Reproducible Research
Speakers#
| Name | Role | Organisation |
|---|---|---|
| Kozo Nishida | Project Researcher | Tokyo University of Agriculture and Technology, Japan |
| Peter van Heusden | Bioinformatician | South African National Bioinformatics Institute / University of the Western Cape |
| Radovan Bast | Research Software Engineer | UiT – University of Tromsø / CodeRefinery |