Research Data Management 101


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 2022 - 2023

Friday 18 November until Thursday (incl.) 08 December 2022

Virtual classes (mandatory):
Monday 21.11 at 14:00 – 15:30 hrs, Tuesday 29.11 14:00 – 16:00 hrs, Thursday 08.12: 14:00-15:30

Friday 27 January until Thursday (incl.) 16 February 2023

Virtual classes (mandatory):
Monday 30.01 14:00 – 15:30, Tuesday 07.02 14:00-16:00, Thursday 16.02 14:00 - 15:30

Friday 17 March until Thursday (incl.) 06 April 2023

Virtual classes (mandatory):
Monday 20.03 14:00 – 15:30, Tuesday 28.03 14:00-16:00, Thursday 06.04 14:00 – 15:30 hrs

Friday 02 June until (incl.) Thursday 22 June 2023

Virtual classes (mandatory):
Monday 05.06 at 14:00 - 15:30 hrs, Tuesday 13.06 14:00-16:00 hrs, Thursday 22.06 14:00-15:30 hrs


Relevant Information

  • This is a three weeks blended course, meaning that is a mix of self-studying and online class meetings (which are mandatory). 
  • The time to be spent for the course is approximately 16 hours in total, which is equivalent  to 1.5 GS credits in the category of Research skills of the GS Education Programme, if the requirements are fulfilled (more information here)
  • The online learning environment is Brightspace. Participants will get instructions on how to access Brightspace four days before the starting date of the course.

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


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