Research Data Management 101

Research Data Management 101 | A Graduate School Course


This course provides PhD candidates with the essential knowledge and the core skills to manage research data according to best practice. Learners will be able to integrate good data management practices within their workflows from the beginning of their projects. The application of this knowledge to their research will allow them to reflect on how to work efficiently and in a reproducible manner with their research data, while complying with funders and institutional requirements.

Please find a detailed description of the course on the Graduate School website.

The registration to the course is via Coachview the course registration application of the Graduate School Doctoral Education (GS DE) programme. 

Courses academic year 2021 - 2022

Friday 10.09 until (incl.) Friday 01.10

Virtual classes (mandatory):

Monday 13.09 at 14:00 - 15:30 hrs, Tuesday 21.09 14:00-16:00 hrs, Thursday 30. 09 14:00-15:00 hrs

Friday 19.11 until Friday (incl.) 10.12

Virtual classes (mandatory):

Monday 22.11 at 14:00 – 15:30 hrs, Tuesday 30.11 14:00 – 16:00 hrs, Thursday 09.12: 14:00-15:00

Friday 28.01 until Friday (incl.) 18.02

Virtual classes (mandatory) to be added in CoachView:

Monday 31.01 14:00 – 15:30, Tuesday 08.02 14:00-16:00, Thursday 17.02 14:00 - 15:00

Friday 29.05 until Friday (incl.) 20.05

Virtual classes (mandatory) to be added in CoachView:

Monday 02.05 14:00 – 15:30, Tuesday 10.05 14:00-16:00, Thursday 19.05 14:00 – 15:00 hrs


Total hours of the course: 16 hours including preparation

The first day (morning) of the course students will receive an email with instructions on how to access the course on Brightspace and instructions on how to prepare for the first virtual class.