Open Science and Reproducible Research in RStudio and Jupyter Notebook
Resources and Videos
In the first part of this two-day workshop, participants will learn the basics of open science and reproducible research.
They will learn the difference between replicability and computational reproducibility, know what FAIR data is, and be aware of how to handle personal and sensitive data.
In the second part, participants will learn the basic reproducible research workflow for the three main stages of research (i.e. data acquisition, data processing, and data analysis) by using tools such as RStudio, Jupyter Notebooks, and the version control system GIT.
Participants will find out how to organise a research project using RStudio and Jupyter Notebooks, how to use Quarto and Markdown for documenting the research steps, how to organise files and folders, and how to use the version control system GIT for collaboration.