Data Train Curriculum
The 3 Data Train Tracks
Which track fits to me?
In the "Starter Track", thematic overview lectures will 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.
This track is open to all interested in improving their data skills.
Data stewardship describes the using, documenting, managing, preprocessing, and harmonizing of data in compliance with legal and ethical obligations.
In the Operator Track Data Steward essential competencies for the efficient handling of data in accordance with the “FAIR data principles” (which state that data should be findable, accessible, interoperable and reusable; see Wilkinson et al. 20161) are taught. FAIR data form the basis for sustainable and future-oriented research that exploits its potentials. The track includes hands-on workshops on programming languages, versioning, data management plans, reproducibility,data preparation, data provisioning, and database skills.
1 Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016)
Data science is concerned with extracting information and gaining knowledge from data using computational analysis methods such as statistical techniques, but also artificial intelligence (e.g. machine learning).
In the Operator Track ‘Data Scientist’ participants learn methods from mathematics, statistics, artificial intelligence and computer science for data analysis as well as data visualization skills. In hands-on workshops, you apply data analysis methods, learn procedures for evaluating these methods, and gain knowledge in visualization techniques and principles.
Courses are allocated to tracks and build on one another. Doctoral researchers can complete the tracks in their entirety or just take individual courses.
The program is primarily offered to doctoral researchers from member institutions of the U Bremen Research Alliance. For online-lectures and in case that places are available, courses are open for other status groups or externals. Please note your status as one of the following in the registration form:
- Doctoral researcher of a member institution of the U Bremen Research Alliance.
- Doctoral researcher of a non-member institution. (External)
- Post-doctoral researcher of a member institution of the U Bremen Research Alliance
- Post-doctoral researcher of a non-member institution. (External)
After registration, you will receive a confirmation email with information on participation. In case a course is fully booked, you will be automatically placed on the waiting list. The order of the waiting list is based on the time of registration and your status. In case of cancellation by a registered participant, the place will go to the first person on the waiting list. If you are officially registered for a course, cancellation is required if you cannot attend the course.
Confirmation of participation
We confirm your attendance at (a) course(s) after a track was completed. All participated courses (of that track) are listed in the document.
Who receives a certificate?
- Starter Track: Docotoral researchers affiliated at the U Bremen Research Alliance
- Data Steward & Data Scientist Track: All regular participants (viewers excluded) who fully attended the workshop
Interested in training and networking beyond the scope of research data management and data science?
You find further discipline-overarching training and a platform to network offered by BYRD!
BYRD is the support center for early-career researchers at the University of Bremen. – A central contact point for doctoral candidates, post-docs as well as established researchers seeking for information and support for further training, networking, and consulting.