PhD Introduction Course (mandatory)

The Introduction course for new PhD students is a three-day course offered by the CBS PhD School in the autumn semester. The course is mandatory for all PhD students enrolled at CBS from 1 January 2024.

In the spring semester, we offer a one-day Introduction Course, allowing PhD students enrolled this spring to complete selected elements of the full introduction course. This course is scheduled to take place on 23 April 2026.

The remaining elements will be offered as part of the three-day Introduction course in the autumn semester of 2026.

PhD students who complete elements during the one-day course in the spring will not be required to repeat these elements when attending the course in the autumn.

PhD students employed at CBS will receive Prophix hours for their participation once all elements of the Introduction Course have been completed.

Program

Research data management (RDM)

Please read more about the session below:

Prerequisites

All students must complete the online course “Introduction to Research Data Management (modules 1–3)” (approx. 1.5–2 hours, available in Canvas) and submit three short assignments prior to attending the course.

The deadline for submission of the assignments is Monday, 20 April 2026.

Furthermore, it is expected that all students have read the Danish Code of Conduct for Research Integrity before attending the course.

Aim 

To introduce CBS PhD students to the basic concepts, principles and practices of research data management (RDM).

Content

This course gives an overview of relevant RDM topics and best practice in the field. It is set up as a blended learning course with 1.5 - 2 hours of online self-study and 2 hours of classroom learning. The students will be generally introduced to key RDM concepts and ideas by taking the online course “Introduction to Research Data Management (modules 1-3)” (ca. 1.5 hour).

The classroom learning session will be tailored to the needs of the PhD-students that have registered for the course. It will comprise a Q&A follow up session to the self-study, discussion of concrete examples and RDM issues, and hands-on exercises selected for the group of students.

Overview of course contents: 

• CBS RDM policy
• Good RDM practice throughout the research data lifecycle (including how to write a data management plan and related tools)
• The FAIR principles
• RDM services and infrastructure at CBS (among others: storage, HPC tools and resources, data publishing, data preservation)

Teaching Style

Blended-learning course with online self-study and classroom learning with lecture elements, class discussion and small group exercises.

Learning Objectives

This course gives PhD candidates an understanding of good RDM practice and how it is part of the methodological toolkit of every researcher.

Course Literature

The Danish Code of Conduct for Research Integrity

If you have any question to the above please contact Blazenka Kvistbo, bbk.research@cbs.dk