SBRI19006U Ethics in Translational Medicine I

Volume 2024/2025

BRIDGE - Translational Excellence Programme


The overall aim of this course is to instruct participants how to assess research ethical dilemmas in modern biomedical translational research and provide them with relevant information on ethical challenges when writing applications for ethical reviews. The course will attribute time to what is called ‘participant data’ in applications to the regional research ethics committee.


This course is the first of the two ethics courses in the BRIDGE - Translational Excellence Programme. As scientists, we are legally obliged to submit our research for evaluation and permission by the appropriate research ethics authorities, for example the Regional Research Ethics Committee. However, we are also morally obliged to reflect regularly about why, how, and on whom we are doing the research we do, what consequences that research might have, and the dilemmas it tends to sprout everywhere. The Ethics I course focuses on the first obligation of submitting research for ethical evaluation and pays only superficial attention to the latter. The latter aspect will be thoroughly covered in the Ethics II course.


This course is discussion-based and will include examples from the participants’ own projects.


The course will cover

  • The basics of research ethics of studies involving human subjects and experimental animal.
  • The basics of responsible conduct of science.
  • A brief introduction to the structure behind the research ethics committee system.
  • The basics of informed consent and written participant information.
  • Research ethics of big data and genetic data used in translational research
  • Writing applications to research ethics committees.
Learning Outcome

Upon completing the course, participants should be able to:



  • Discuss research ethics implications of basic/preclinical studies involving biological data, generated as part of big data and genetic data studies.
  • Discuss research ethics implications of basic/preclinical studies involving experimental animals.



  • Communicate research ethics issues related to big data and translational studies in a balanced and accessible manner.
  • Writing applications to research ethics committees.



  • Critically assess and discuss complex ethical issues particularly pertaining to informed consent and applications to research ethics committees, including what might cause a research ethics committee not to approve an application.

Course literature will be published on Absalon.

Participants must meet the admission criteria of the BRIDGE - Translational Excellence Programme.
The course is organized with a combination of face-to-face lectures, group work, case studies, and presentations.

The course will end with an evaluation where participants must reflect on course learning outcomes and give feedback for course development.
  • Category
  • Hours
  • Lectures
  • 6
  • Preparation
  • 8
  • Exercises
  • 6
  • Total
  • 20
Continuous feedback during the course of the semester
Type of assessment
Continuous assessment
Requirement to attend classes
Type of assessment details
Attendance and active participation including 1 home assignment on day 1 to be presented in class on day 2.
Exam registration requirements

Participants are automatically registered for the examination upon admission to the BRIDGE - Translational Excellence Programme.

All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
Criteria for exam assesment

Active contribution and course participation according to the BRIDGE Guidelines and Practicalities.