On completion of the course, the participants should be able to:

Knowledge

• Discuss principles of research data management and data management plans
• Explain suitability of different experimental model systems, and how they can be used in translational research
• Determine current practices how pharmaceutical industry use experimental model system in translational research

Skills

• Prepare a draft of the fellow’s research data management plan
• Assess which model system would be optimal for their research

Competences

• Prepare a research data management plan that complies with requirements by funding agencies and other stakeholders
• Critically evaluate the advantages and disadvantages of different experimental model systems
• Design basic outlines for preclinical models for drug discovery
• Understand the central aspects of translational tools and be able to discuss and communicate these to other scientists, clinicians, and the public