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This course will guide participants towards a reproducible research workflow supported by R. It will provide participants with knowledge how to prepare their data and analyses so that other researchers can understand (and eventually reproduce) how figures and statistical tests were created stepwise from the raw data.

We will use R (and RStudio) as interpreted programming language. The course will blend on-line lessons on DataCamp and custom made exercises with weekly 2 h hands on sessions.

This course is generously supported by data camp by providing free access to online learning material for R for our course.

Learning goals:

  • comprehend the importance of reproducible research
  • learn data analysis in R through the tidy approach
  • be able to create data visualisation via ggplot2
  • understand the process towards a fully reproducible analysis notebook
  • receive an introduction to linear models
  • be able to do Preregistration and understand registered reports
  • learn how to write a data management plan and receive information on open data repositories
  • understand the usefulness of metadata
  • receive an introduction to open access publishing models contrasted with traditional models

Main Lecturer:

PD Dr. Ulf Tölch, Project leader Education, Training & Quality in Research

Additional Lecturer:

Meggie Danziger, PhD Candidate


No prerequisites. If you have experience with R and RStudio you can start the course in the 4th session as the first three sessions are of intoriductory nature.


A certificate will be provided. ECTS: 2,0


The course is currently running. No registation possible.

Course language: English


PD Dr. Ulf Tölch

AG Leiter | Projektleiter Ausbildung, Training & Qualität in der Forschung


Telefon:+49 30 450 543 013