Episode 2: Enabling Reproducibility through Research Code


14 November 2024 @ 8:30 - 10:00 am UTC (your local time)


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.

A useful open educational resource related to these topics are available from CodeRefinery.

Follow the CodeRefinery lesson on Reproducible research

Our Speakers

Kozo Nishida

Tokyo University of Agriculture and Technology


Project Researcher


I worked as a technical staff member at RIKEN for 11 years, during which I became familiar with research software communities such as PyData and Bioconductor, and released several research software packages. I am interested in contributing to the open science community.

Peter van Heusden

South African National Bioinformatics Institute / University of the Western Cape

Bioinformatician


I am a bioinformatician with a computer science and computer systems infrastructure background. My focus at SANBI is building tools to enhance genomic surveillance of some of the world’s most deadly pathogens (such as M. tuberculosis). I do so by focusing on translating bioinformatics from research to accessible, reproducible workflows applicable to public health needs.

Radovan Bast

UiT- University of Tromsø / CodeRefinery


Research Software Engineer


Radovan Bast is a research software engineer with a background in theoretical chemistry. He has previously worked in France and Sweden, and he is currently based in Norway. Radovan’s work is at the border between science, software, and computational support, and he enjoys supporting multi-disciplinary research. Radovan now works as part of the Norwegian Research Infrastructure Services at the University of Tromsø (UiT), Norway, and leads the CodeRefinery project. At UiT he leads the high-performance computing group and the research software engineering group. His goal is to make computing and programming more accessible and usable through training.

Meetup Resources


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