Research Data Management (RDM) in life sciences: essentials

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. 

Objectives

Research Data Management (RDM) in life sciences: essentials

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. 

Objectives

Research Data Management (RDM) in life sciences: essentials

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. 

Objectives

Train the trainer

This training equips early-career educators and researchers — particularly those in bioinformatics and life sciences — with essential skills to design and deliver practical, engaging training sessions. 
Aimed at first-time trainers, postdocs, and academic staff involved in teaching, the course introduces 

  • evidence-based learning principles and
  • practical strategies for planning, facilitating, and evaluating training. 

 

Objectives

At the end of the course, the participants are expected to:

COMPASS

1 January 2026 - 31 December 2028

COMPASS (Comprehensive ‘Omics Informs Precision Action and Diagnosis in Sarcoma) is a VIB Grand Challenges project that aims to transform sarcoma diagnosis by replacing fragmented genetic testing with a comprehensive multi-omics approach. Current diagnostic methods often provide limited insight and still fail to deliver a diagnosis in up to 20% of cases.

ENVIRONGEN

15 January 2026 - 14 January 2030

ENVIRONGEN (ENVIRONmental monitoring open GENomics toolkit) aims to deliver the first comprehensive, open, and validated bioinformatics toolkit for genomics-based environmental monitoring.

Belgian AI Factory Antenna

1 March 2026 - 28 February 2029

The Belgian AI Factory Antenna project aims to accelerate the adoption of artificial intelligence across key sectors, while strengthening Europe’s digital and technological sovereignty.

Machine learning and deep learning fundamentals

Machine learning and deep learning are transforming research by enabling data-driven discoveries and predictive modeling. For many researchers, these techniques can unlock new insights from complex datasets, but getting started can feel overwhelming. 

Nextflow for reproducible and automated data analysis

Are you a research staff member working with bioinformatics data? This hands-on training is designed to help you build scalable, reproducible data analysis pipelines using Nextflow. As data volumes grow and analyses become more complex, mastering workflow management tools is essential for ensuring reproducibility and efficiency. In this course, you’ll learn how to develop and run pipelines on your local machine, HPC clusters, and cloud platforms. Starting from the basics, we’ll guide you through building a simple pipeline and progressively enhance it using Nextflow’s modern DSL2 syntax.

Containerise data analysis with Docker & Apptainer

The container workshop will give an introduction to Docker & Apptainer, which are great tools for achieving portability and reproducibility in your analysis. You will learn how to use containers and how to build a container from scratch, share it with others, and re-use and modify existing containers. After an extensive explanation of Docker containers, the Apptainer application (formerly Singularity) and its use in HPC will also be highlighted. 

 

Objectives