The assessment of the MDMC programme is based on participation, practical experience, and the development of an individual project. Students are evaluated throughout the programme, with particular attention to their engagement in coursework and performance during the internship.
Students are required to attend at least 70% of the in-person lectures.
Attendance requirements during the traineeship period are defined according to the specific arrangements agreed with the host institution and the traineeship supervisor.
The traineeship supervisor evaluates the student’s overall performance during the internship according to four criteria, each scored from 1 to 5, for a maximum of 20 points:
- Thesis Evaluation – Is the thesis clear and well organised? Is the work technically and scientifically sound?
- Internship Performance – Was the student’s participation in the internship activities proactive, continuous and effective?
- Dissemination and Communication – Ability to communicate internship activities and results clearly and effectively, e.g. through presentations, documentation or internal seminars.
- Collaboration and Community Engagement – Willingness to collaborate with colleagues and fellow students, contribute to team activities and foster a sense of community.
Score legend: 1 = Poor · 2 = Acceptable · 3 = Good · 4 = Very Good · 5 = Excellent.
The Final Discussion Panel evaluates the thesis presentation and discussion according to three criteria, each scored from 1 to 5, for a maximum of 15 points:
- Topic Relevance – Is the topic relevant to data management and curation?
- FAIR Data Approach – Are FAIR principles correctly addressed and clearly explained in the implemented work?
- Presentation and Communication – Was the oral presentation clear, well structured and effectively delivered?
Score legend: 1 = Poor · 2 = Acceptable · 3 = Good · 4 = Very Good · 5 = Excellent.