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 (ZMT)

 

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

About Data Train

Learn more about the training program's concept.

 

Courses

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

Operator Track ‘Data Steward’

In the Operator Track ‘Data Steward’, essential competencies for the efficient handling of data in accordance with the „FAIR data principles“ (data should be findable, accessible, interoperable and reusable) 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.

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Operator Track 'Data Scientist'

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.

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