OSC/e Meetup: Creating reproducible research code

When: 18 January 2022, 15:00-16:00 CET

Registration: https://forms.office.com/r/3zuPsYfMjA

Link to the session will be sent to all registered participants.

Slides: https://osf.io/ufetw/

Creating reproducible research code

The goal of reproducible data analysis is to document and communicate your analysis so that others can easily follow your steps and replicate its results. There are many obstacles to achieving reproducibility, some obvious and some not-so-obvious. At the BioInterface Science group, we have taken the journey to make our scripts reproducible and reusable. In this presentation, I will go over the challenges/issues we faced during this journey. We will discuss software environments, version controls, and software documentation.

In the end, we will share ideas on how to make the research community more aware of the importance of code reproducibility.

Tim Kuijpers, Data Manager at Biomedical Engineering Department

Tim obtained his Bachelor's and Master's degree in Biomedical Engineering at the University of Technology, Eindhoven. For his Master's degree, he joined the research group of computational biology and worked on the network-based analysis of human hepatic cells, to identify clinically relevant genotype-phenotype differences from liver biopsies in subgroups of nonalcoholic fatty liver disease patients. in 2016, he joined the group of Toxicogenomics at Maastricht University for his PhD. During his PhD, he focused on the interaction between the epigenome and transcriptome in cancer cell lines and population studies by applying omics integration techniques. After his PhD, he joined the BioInterface Science group for the Materials-Driven Regeneration program. As a data manager, he works on implementing the FAIR data principles. Furthermore, he will work on the Biomaterial Atlas, a data repository to collect and reuse biomaterial studies.