OPEN SCIENCE GRADUATE COURSE
"Good research practices: Improving my research with open science”
Course code: PHDCO-007
Date: 23rd and 24th of May 2022
Course location: Erasmus MC, GK building, CQ-1Db room
Prerequisites: Bringing your personal laptop and installing R and Rstudio.
In the past couple of decades, the credibility of science has been questioned, with many studies not finding the same results when repeated. This included medical fields like cancer research where only 50% of studies were reproduced.
This showed the need to make our science better: more reproducible, transparent, and open. These are the key principles of open science, an emerging field trying to improve our research.
However, it can seem daunting to undertake the task of learning about open science by yourself. In this two-days course, we will introduce you to the why, how, and when of open science.
You will learn about:
Why open science can offer solutions to some of the challenges that arose during the history of science (e.g., low reproducibility) and its importance in society and academia.
How to make your science more open, transparent, reproducible, participatory, and diverse, across the research cycle: From the research question formation to the reporting of results.
The benefits and difficulties of open science, to help you identify when open science might be useful for you.We will offer live lectures, interactive sessions, and practicals.
This course is offered by the Rotterdam R.I.O.T. science club, a grassroots initiative which promotes open science.
Understand what open science is, its principles, and history, as well as why it is instrumental in achieving higher quality, integrity, equity, and diversity in science.
Leverage certain open science practices and tools in your own research
Evaluate open science benefits and difficulties
PhD students from any field, especially from the social and medical sciences, who are interested in learning about how to improve their research with open science. The course is tailored for individuals with little to no knowledge of open science. Some familiarity with R might help when conducting the RMarkdown course, but is not necessary.