Research Data Management (RDM) in life sciences: essentials
Research Data Management (RDM) in life sciences: essentials
25 June 2026, 9h00- 17h00
General context
Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus.
You will explore key concepts such as FAIR data, open data, and data documentation, while gaining hands-on experience in organizing, describing, and sharing data effectively. The course also addresses practical elements including metadata standards, Data Management Plans, and selecting suitable repositories.
- Define key Research Data Management (RDM) concepts, including FAIR data and open data principles
- Identify institutional resources and reliable resources that support effective data management
- Evaluate the relevance of Data Management Plan (DMP) elements and apply them to research projects
- Organize research data and documentation using standardized formats and appropriate metadata
- Explain ethical and legal considerations, including handling of personal/ sensitive data and GDPR compliance
- Select suitable repositories for data sharing, distinguishing between general and discipline-specific options
The training combines short lectures with interactive discussions and exercises, allowing participants to apply concepts to practical scenarios.
Participants are required to bring a laptop for hands-on activities.
This course has been designed for early-career researchers, but researchers in the life sciences at all career stages are welcome to strengthen their data management skills.
No prior knowledge is required to attend this course.
This course is part of multiple learning paths.
Trainers
Willeke de Haan
Willeke de Haan has a PhD in biomedical sciences and is now working the KU Leuven research coordination office where she gives training and advise about research data management.
Niels Geudens
Niels is a research data steward at VIB, where he oversees research data across various life science projects, handling all its aspects throughout the data's life cycle. Niels earned his PhD in Chemistry from Ghent University, specializing in the structural elucidation and mode of action of secondary metabolites. After his PhD, he was actively involved in teaching, delivering several university courses at the Bachelor and Master levels, and guiding thesis and PhD students as they navigate their first steps in academic research. Since April 2024, he is part of the Data Core at VIB.
Matheus Lourenço
Matheus Lourenço is a science communication expert and trainer at VIB. A behaviour change specialist and Marie-Curie fellow with a joint PhD in Psychology from KU Leuven and Maastricht University, he pioneered innovative methodologies in tinnitus treatment and gathered accolades for his ability to make complex scientific approaches accessible to diverse audiences.
After completing his PhD, Matheus worked as a consultant to leading pharmaceutical companies, delivering strategic workshops worldwide. Now back in academia, he is committed to empowering researchers to communicate their work with clarity and impact, thereby strengthening the connection between science and society.
Inge Mannaerts
Inge Mannaerts is a Research Data Management (RDM) advisor at the KU Leuven Libraries 2Bergen, supporting researchers in the Science, Engineering & Technology (SET) and Biomedical domains. She transitioned into this role in 2024 after a 19-year career as a biomedical researcher at the Vrije Universiteit Brussel, where she specialized in liver fibrosis, hepatic stellate cell biology, and regenerative medicine. Inge’s interest in RDM grew organically from her own lab experiences: navigating legacy data, improving sample traceability, and implementing ELN-LIMS systems to streamline reporting.
Today, Inge is passionate about bridging the gap between research and data management. She focuses on developing tailored RDM solutions, delivering training, and advising researchers on best practices in data stewardship. She is particularly interested in motivational teaching approaches that help researchers see the relevance and value of RDM in their work.
Sylvette Vanderstraeten
Sylvette Vanderstraeten is a Research Data Management (RDM) advisor at the KU Leuven Libraries 2Bergen, with over five years of experience supporting researchers in Science, Engineering & Technology (SET) and Biomedical domains. With a degree in Biology and a deep understanding of the research landscape, she brings a practical and thoughtful approach to data stewardship.
Sylvette is passionate about making RDM accessible and meaningful across disciplines. She enjoys exploring both the unique needs of individual research fields and the common principles that unite them, allowing her to give advice and develop training and custom RDM solutions that are both tailored and broadly applicable. Her sessions and materials are designed to meet researchers where they are—whether PhD students or PI's—by adapting content to their specific context and needs.
Her main ambition is to help researchers integrate RDM seamlessly into their workflows, minimizing effort while maximizing clarity, reproducibility, and reusability. With her expertise on data documentation, metadata, and organisation, she aims to make good data practices feel intuitive rather than burdensome by drafting clear checklists, step-by-step guides, and pragmatic strategies.
Program
RDM intro and key concepts
Coffee Break (provided)
Data Management Plan (DMP)
Coffee Break (provided)
Choosing the right repository
Lunch (provided)
DMP follow-up
Coffee break (provided)
Documentation and metadata
Break
Organization and folder structure
Practical info
25 June 2026
Leuven - Research Coordination Office KULeuven
Schapenstraat 34
3000 Leuven
Belgium
25 June 2026
Leuven - Research Coordination Office KULeuven
By Bus:
At the station, take bus number 2 (direction Heverlee Campus).
You take the stop at the Standaard Boekhande on the Naamsestraat, the monumental Sint-Michielskerk on the other side of the street. Go back a little and turn left into the Sint Antoniusberg (steep down). At the Damiaanplein you can turn left into the Schapenstraat.
On Foot:
You can reach the area from the station in about 20 minutes on foot.
By Bike:
You can also rent bikes at the station (a few electric bicycles available). However, it is advisable to reserve your bike in advance.
How to:
When you come out of the station, take the Bondgenotenlaan right in front of you. You walk all the way through this until you reach the Grote Markt, where you walk to the left of the church and past the town hall. Take the second street after the town hall on the left to the Oud Markt. You walk to the end of the Oude Markt, where you leave the Oude Markt on the right and then immediately turn left into the Parijsstraat. After crossing the Damiaanplein, you enter the Schapenstraat .
25 June 2026
Leuven - Research Coordination Office KULeuven
25 June 2026
Leuven - Research Coordination Office KULeuven
NB! There is ample parking, but a code is required to access it. Your contact person can provide you with this code (changed daily).
25 June 2026
Leuven - Research Coordination Office KULeuven
No contact information for this location has been provided.