Applied Research Data Management for PhD Projects
Cluster
Research and Valorization
Competences as defined in ResearchComp
ResearchComp is a European competency framework developed by the European Commission. It provides a common reference framework that makes researchers’ competencies more visible and comparable—not only for researchers themselves, but also for universities, employers, and policymakers across Europe.
To get started with ResearchComp, you can consult this guide.
| Competence Area | Competences |
| Managing Research Tools |
FAIR data principles;Intellectual property rights (IPR);Open science practices;Research data management;Use of research software & digital tools;Use of open‑source tools; |
| Making an Impact | Open access publishing;Publishing & disseminating research results; |
| Self-Management |
Self‑organization & planning; |
Target audience
Doctoral Candidates
Trainers
UGent Data Stewards (rdm.support@ugent.be)
Description
This hands-on course will train doctoral students in applying Research Data Management practices within their own PhD research projects. Guided by the lecturer, participants explore key aspects of RDM, including how to plan, organise, document, store, safeguard, and share research data, in line with FAIR principles. Attendees are encouraged to present their own RDM challenges, share experiences with peers, and reflect on the advantages and limitations of different RDM approaches. Through a series of practical exercises, participants become familiar with best practices and available infrastructure, and develop concrete, reusable RDM outputs—such as data workflows, data overviews, and documentation drafts—that can be directly applied and further developed within their own PhD projects.
Pre-requisites
· Participants should already have a good understanding or outline of their own PhD research project, although having collected data is not yet required
· Basic knowledge about research data management is required. For example, participants can follow the self-paced "Fundamentals of RDM" course in advance.
Dates and venue
2 half days:
May 4 2026 09:00-13:00
May 5 2026 09:00-13:00
Location: Leslokaal 1.12 (T2, Campus UFO)
Registration
- Follow this link for the registration and waiting list. We check if you are eligible to participate. Due to limited places, we give priority to PhD students. Your registration will be confirmed by separate e-mail (outlook invite).
- Cancellation of your registration can only be performed by sending an email to doctoralschools@ugent.be.
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The no show policy applies.
Registration fee
Free of charge for Doctoral School members.
Number of participants
Maximum 15
Language
English
Format and Learning material
The course combines short lectures with guided discussions, real-world examples, and hands-on exercises. Participants work on their own PhD projects through individual and group activities, with a strong focus on producing practical outputs that can be reused after the course.
Evaluation method
100 % participation
After successful participation, the Doctoral School Office will add this course to your curriculum of the Doctoral Training Programme in Oasis. Please note that this can take up to one to two months after completion of the course.