DATA-STEWARD-SERVICES

SUPPORT FOR MANAGING YOUR DATA

Scientific institutions, funding agencies, and journals are increasingly asking for a sustainable research data management (RDM) strategy according to the FAIR-principles . This requires research data to be Findable, Accessible, Interoperable, and Reusable in order to make research transparent and reproducible. The DFG has also recently specified its requirements in this regard and is now making information on the handling of research data in collaborative and individual proposals mandatory (see DFG-news item from March 14. 2022 ). Sustainable RDM-processes is therefore essential for the success of proposals and research projects. RDM therefore affects researchers from all disciplines and at all career levels.

The Data Stewards of the Data Science Center support scientists of the University of Bremen and the non-university institutes of the U Bremen Research Alliance in the effective and sustainable management of their research data. On this website you can learn more about our data stewardship services.








HOW CAN DATA STEWARDS HELP YOU?

With their subject-specific background, Data stewards support scientists in the management of their research data, ranging from the preparation of a proposal and the data management plan (DMP), to the development and implementation of workflows as well as analysis of the research data, to its publication. They also advise on Open Science, FAIR-Data and data protection, and offer specialised training (more information on our training courses is available here).

Your data steward can support you with:




Advice on good data management in your project




Information on data archiving and repositories



Tips on setting up secure data storage



Advice on increasing your visibility



Preparation of data management plans



Data Literacy training for your faculties or institute

GET IN TOUCH!

Contact your subject-specific data steward directly:



Heike Thöricht
Heike Thöricht
Social Sciences and Humanities
heike.thoericht@uni-bremen.de
+49 (421) 218 63939


TRAININGS AND EVENTS

13.05.2025 | 09:30 - 13:00 Uhr .
Trainings
Python Quickstart for Qualitative Data (DSC-2025-06)

Annika Nolte & Nele Fuchs
Location: UNICOM 2 (Eingang Haus Oxford)
Mary-Sommerville-Str. 2
Raum 2.2090 (Erster Stock)





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14.05.2025 | 09:30 - 13:00 Uhr .
Trainings
From Audio to Text: Automated Transcriptions with Whisper (DSC-2025-07)

Nele Fuchs & Annika Nolte
Location: UNICOM 2 (Eingang Haus Oxford)
Mary-Sommerville-Str. 2
Raum 2.2090 (Erster Stock)





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15.05.2025 | 13:00 - 13:30 Uhr.
Lunch & Learn | Data Snacks
Making the Most of Large Language Models in Scientific Programming

Annika Nolte
Location: Online (Zoom)




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19.05.2025 | 09:30 - 15:30 Uhr .
Trainings
Good Questions, Better Survey Data: An Introduction to Effective Questionnaire Design (DSC-2025-08)

Dr. Susanne de Vogel
Location: Online (Zoom)




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20.05.2025 | 09:00 - 12:30 Uhr .
Trainings
Simplifying Data Science with Galaxy: A Beginner’s Workshop (DSC-2025-09)

Sarah Büker
Location: In Präsenz, Raum folgt




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22.05.2025 | 13:00 - 13:30 Uhr.
Lunch & Learn | Data Snacks
Applied Text Mining using Python

Dr. Maryam Movahedifar
Location: Online (Zoom)




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26.05.2025 | 09:00 - 12:30 Uhr .
Trainings
Bioinformatics Made Easy: A Hands-On Galaxy Workshop for Biologists (DSC-2025-10)

Sarah Büker
Location: UNICOM 2 (Eingang Haus Oxford)
Mary-Sommerville-Str. 2
Raum 2.2090 (Erster Stock)





» MORE
02.06.2025 | 09:30 - 15:30 Uhr .
Trainings
Good Planning, Better Survey Data – Introduction to Web Survey Design (DSC-2025-11)

Dr. Susanne de Vogel
Location: Online (Zoom)




» MORE
05.06.2025 | 13:00 - 13:30 Uhr.
Lunch & Learn | Data Snacks
Zooming out – macro-level dynamics of research data infrastructuring

Prof. Dr. Sigrid Hartong
Location: Online (Zoom)




» MORE
11.06.2025 | 13:00 - 13:30 Uhr.
Lunch & Learn | Data Snacks
Tupperware Your Data – Keep Your Data Fresh, Organized & Ready to Serve (On-Campus Special Edition)

Dr. Susanne de Vogel
Location: Glashalle (Boulevard-Level)




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The Data Science Center is funded by:
Logo funding by BMBF Logo funding by EU