Open Science and the FAIR principles are increasingly being regarded as part of good research practices. The FAIR principles aim to make your research data Findable, Accessible, Interoperable and Reusable. This course will explain what it requires to achieve good research data management, it will introduce the main concepts of Open Science and what it entails to implement the FAIR principles in a research project. Participants will discuss the possible benefits and barriers in sharing research data and gain knowledge of what FAIR can mean in their research project.
Learnings objectives
After completion of the course, the participants are expected to:
• Assess the challenges in managing research data
• Be able to make a Data Management Plan (DMP)
• Place the FAIR principles within the broader Open Science agenda
• Understand how to implement the FAIR principles to make research data more visible
Form and duration
From 9:00 - 13:30 hours including lunch. The course consists of a combination of lectures, discussions and exercises. There will be a general introduction in the morning, followed by presentations targeted SSH and STEM participants in the afternoon. It is expected that participants prepare a DMP prior to the course. DMPs will be used as point of departure during the course but won’t be visible to the other participants.
Target group
The course is mandatory for Ph.D. students at Roskilde University enrolled from 2022 and on-wards. However, all Ph.D. students are encouraged to take the course. Other early career and senior researchers are welcome to participate. Max no. of participants 20.
ECTS
0,5 ECTS is awarded to Ph.D. students by presenting a completed DMP.
This course is organized together with EAE: Read more and sign up.
