Training in Research Data Management and Data Science

Data-driven science is becoming increasingly important in answering the pressing research questions of our time. Global warming, massive extinction of species and the impact on human health as well as the socio-economic consequences of the COVID-19 pandemic are just some recent examples. However, there is a significant deficit of qualified persons in (research) data management and data science to foster innovative “Big Data” technologies for science and the private sector worldwide.

The U Bremen Research Alliance, with the support of the Federal State of Bremen, has established the cross-institutional and cross-disciplinary training program "Data Train - Training in Research Data Management and Data Science" for doctoral researchers from member institutions.

"Data is the currency of the 21st century.
We need to invest this currency better to manage and grow our wealth of knowledge."

Dr. Arjun Chennu, Data Train lecturer
Group Leader "Data Science and Technology", Leibniz Centre for tropical Marine Research

Image showing a key in a data space.
© matejmo / iStock

About Data Train

Learn more about the training program's concept.



The Data Train training program is offered to doctoral researchers across institutes and disciplines and therefore focusses at basic competencies in Research Data Management and Data Science.

Data Train lecturers
© U Bremen Research Alliance

Get to know our team!

... the program speakers, our lecturers, collaborators and partners.

Currently on Data Train

Kick-off event 2023

During this event we willprovide information on the Data Train program, its scope, concept, and its connection to the Germany-wide initiative "National Research Data Infrastructure (NFDI)". Further, you will get insights into the curriculum planned for 2023.
Moreover, we will shed light on Data Science applications and will elucidate why one should be aware of Research Data Management principles when applied Data Science methods.


Starter Track

In the ‘Starter Track’, thematic overview lectures provide a general knowledge of important topics in data literacy, research data management, and data science. This track is intended for anyone who wants to get started in research data management and data science.

Schedule: January to May 2023

Registration: December 2022 - May 2023 (open shortly before a course starts)

To the courses!