Content
Course description and objectives:
More than ever, research produces large amounts of data. To make data available and reusable to others, researchers are encouraged to implement the FAIR principles (Findable, Accessible, Interoperable, Reusable). FAIR data contribute to the funding process, support project planning, assist in navigating project changes, help to share project information, and ultimately help boost the researcher’s career.
After completing this course, participants will be able
- to identify FAIR requirements when performing research, and
- to identify tools and resources to apply FAIR requirements in their research.
This course endeavors to help participants acquire, inter alia, basic knowledge of FAIR , including the basic principles of FAIR (what are they, where do they come from, why they should be used), and what is necessary to apply FAIR practices in research.
Preparation
Participants will receive a preparatory assignment (approx. 1 h.) before the start of this course.
Practical details
Course Date and location:
This course has been postponed to the second semester of the academic year 2023-2024.
Trainer:
-
Language:
English
Docop-points:
0,3 points
Registration:
Via Sisa Self Service. Log in with your student account. You can register on the waiting list of this course from 5 September.