Training in Research Data Management and Data Science

What we offer

© natrot/adobe.stock.com (farblich adaptiert)
© natrot/adobe.stock.com

News & Activities

© Jens Lehmkühler / U Bremen Research Alliance

Data Champion Award 2026

The Data Champion Award 2026, endowed with €1,500, is awarded to researchers Dr. Anne Speer, Charlotte Brandhorst (both University of Bremen / Research Institute Social Cohesion), and Leonie Wolfrath (University of Mannheim). With this award, the interdisciplinary data competence center DataNord recognizes their data project on the RISC milieu typology, developed at the FGZ at the University of Bremen.

Read more.

© Heuveline, Vincent et al. (Hrsg.): E-Science-Tage 2025: Research Data Management: Challenges in a Changing World, Heidelberg: heiBOOKS, 2025.

New Article Published!

Read more about DataNord's integrative approach to data literacy in research:

Steinmann, Lena et al.:
Bremen’s Interdisciplinary Data Competence Center DataNord: An Integrative Approach for Data Literacy in Research, in Heuveline, Vincent et al. (Hrsg.): E-Science-Tage 2025

Read more

© Mélanie Plass / U Bremen Research Alliance

OneNFDI in the Northwest Data Space

On April 1, a significant discussion about research data infrastructures and the NFDI in Bremen-Oldenburg was held at the Leibniz-BIPS.

The meeting was organized by the FDM and Data Science lead project of the U Bremen Research Alliance under the theme "OneNFDI in the Northwest Data Space" and is part of DataNord.

Data Train Curriculum

 

Starter Track lectures transmit a generic knowledge in research data management and data science. This track is designed for anyone who wants to get started in data literacy.

Schedule: January thru June every year

 

The Operator Track ‘Data Steward’ teaches essential competencies for efficient data handling in accordance with the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. The track includes hands-on workshops on programming languages, data management plans, reproducibility, data preparation, data processing and database skills.

Schedule: July thru December every even year

 

Data science is concerned with extracting information and gaining knowledge from data using computational analysis methods. In the hands-on workshops of the Operator Track ‘Data Scientist’, participants learn mathematical and statistical methods, artificial intelligence applications, computer science concepts for data analysis and data visualization skills.

Schedule: July thru December every odd year

The Data Train Community

About Data Train

Data Train Team

Data Train Network

Cooperating in Data Train

Universität Bremen
Max Planck Institute for Marine Microbiology
Leibniz Institute for Material-Oriented Technologies
Leibniz Institute for Prevention Research and Epidemiology
Leibniz Centre for Tropical Marine Research
Fraunhofer Institute for Medical Image Computing
Fraunhofer Institute for Wind Energy Systems and Energy System Technology
Fraunhofer Institute for Manufacturing Technology and Advanced Materials
German Maritime Museum
German Aerospace Center – Institute of Space Systems
In­sti­tute for the Pro­tec­tion of Mar­itime In­fras­truc­tures
German Research Center for Artificial Intelligence
Alfred Wegener Institute
DLR Institute for Satellite Geodesy and Inertial Sensing
DLR IMF

Data Train is supported by the Federal Ministry of Research, Technology and Space and funded by the European Union - NextGenerationEU.