R4.A1 Research Data management 101


As a preparation you need to go through Module 0 (introduction to the course) before the start date of the course.

Course Description 

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.

Mandatory activities in the course: 

  • Complete data flow map assignments 
  • Attend both class sessions (remote)
  • Engage in the weekly discussions
  • Complete all topics of the course (100%)


After this course, the students are able to:

  • Realize the important role that good data management plays in research
  • Identify different types of research data and recognize the regulations, policies and/or legal requirements associated with them.
  • List the main components of the FAIR data principles and connect them to their own research workflows.
  • Employ the acquired knowledge to design an efficient research data management strategy for their projects according to best practices.

Course setup

The new Modules are available every Monday and are self-paced. There are two remote class sessions (via Brightspace).

Week 1
Module 1: The importance of RDM (self- study online)
Module 2: Essentials for research data (self- study online)

Week 2
Module 3: FAIR data principles and their main elements (self-study online)
Module 4: Realizing FAIR data (Class session via Brightspace – 15. October)

Week 3
Module 5: How to plan for research data management within a project (self-study online)
Module 6: Planning research data management hands-on (Class session via Brightspace – 22. October)

Course Enrolment

Course registration of Graduate School Doctoral Education (GS DE) courses is via Coachview.


For questions and information please contact TU Delft Graduate School via:

015 278 7334

See this link for more information.