Course Description
Research reproducibility is essential for establishing the validity and reliability of research results. In this introductory workshop, participants will learn how to make their research workflows more reproducible using Python or R, widely used programming languages across disciplines. The session includes hands-on exercises with general examples such as automating data processing and publishing data to DataverseNL, supporting transparent and repeatable research practice.
Learning objectives
By the end of this workshop, you will:
· Have acquired an understanding of the general principles for reproducible research
· You will understand the difference between reproducibility and replicability
· Be able to reproduce research code directly from a data repository (DataverseNL)
Target group: Researchers and academic staff. This workshop is provided at a beginner level, but the researchers should already be somewhat familiar with the programming language.
Capacity: The minimum amount of participants is 8.
Language: English
Workshop format: In person (location can be discussed). The workshop takes 4 hours.
Frequency of the workshop: This workshop is only available on request, for a minimum of 8 people. We can offer a tailored version of this workshop.
Send a message to courses-ub@maastrichtuniversity.nl to inquire about the possibilities.
