Applied Research Data Management for PhD Projects

Cluster

Research and Valorization

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.

• 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.