Data Train -the cross-disciplinary graduate program for Research Data Management (RDM) and Data Science (DS) of the U Bremen Research Alliance (UBRA) -enhances competencies in RDM and DS. We empower early career researchers in data literacy for a data-heavy future.
Centralized Training in Research Data Management and Data Science
Data Train is dedicated to enhancing competencies in Research Data Management (RDM) and Data Science (DS) for doctoral researchers across various institutes. As data-driven science becomes crucial in addressing today's research challenges, the demand for skilled individuals in these fields grows. Our program aims to fill this gap by providing comprehensive training that strengthens basic competencies in data literacy, RDM, and DS. The program and its development is associated with the German National Research Data Infrastructure (NFDI) initiative and accompanied by the Research Data Working Group
The Data Train model
Data Train -Training in Research Data Management and Data Science of the U Bremen Research Alliance (UBRA), was launched in 2021 in Bremen, Germany. It covers the entire data-value chain and provides essential skills in data literacy, RDM, and DS, preparing the next generation of scientists for a data-heavy future of research in academia and beyond.
Our program includes:
Starter Track: Fundamental lectures covering the basics of data science, big data, statistics, computer science, and RDM principles. This track is aimed at anyone who wants to get started in RDM and DS and serves as a basis for the more hands-on workshops in the Operator Tracks.
Operator Track 'Data Steward': Workshops focused on implementing FAIR principles, programming skills (e.g., R, Python), and IT applications relevant to RDM, such as database skills and data provision and extraction from online platforms. This track emphasizes the essential competencies researchers need for the FAIR handling of data.
Operator Track 'Data Scientist': Workshops on quantitative analysis methods, machine learning methods, deep learning methods, data visualization, and visual analytics. This track focuses on how data are prepared, processed, analyzed, and transformed into results.
Focus Modules: Special modules that focus on novel methods and exciting research areas. These are designed to keep pace with technological and methodological innovations.
Data Stories: Inspiring stories about data handling, management, and science from experts in the private sector and academia. Each story ends with a discussion and networking opportunities to build a cross-discipline and cross-institutional network.
- Participation is free of charge. Attendance is confirmed by a Certificate of Participation.
- Find out about Data Train at a glance with our flyer.
- Interested in learning more about the Data Train program? Read more about the concept, the development of the curriculum and addressed competences in our whitepaper and other publications.
