• 2023-01-24

 SpringSchool Logo

Daniel Arend, Sebastian Beier, Uwe Scholz (GCBN), Ulrike Wittig (de.NBI-SysBio), Helena Schnitzer, Daniel Wibberg (CAU), Sebastian Jünemann (BiGi), Janine Felden, Lars Möller (BioData) 

Susan Auer - TU Dresden
Harry Enke - Leibniz-Institut für Astrophysik Potsdam
Jeanne Wilbrandt - Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut e.V. (FLI)
Mark D. Wilkinson - Universidad Politécnica de Madrid

13-03-2023 to 17-03-2023, 9:00-18:00

Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
OT Gatersleben
Corrensstraße 3
D-06466 Seeland

Have you ever wondered what research data management really is? Why is it so important? Then the German Network for bioinformatics infrastructure de.NBI has created the perfect spring school for you!

Data management experts will guide you through the basics of research data management, the dos and don’ts and how to improve the management of the data produced in research projects.

The spring school covers all important aspects of research data management: The data life cycle, the FAIR data principles and reproducibility. In addition, we will explore in hands-on sessions what a data management plan (DMP) is. We will sink our teeth into components, language, and examples of DMPs. In the light of the FAIR principles, we will evaluate possible problems and solutions and self-assess a DMP for our own projects.

Are you ready to boost your knowledge about research data management?

Learning goals:
The goal of this de.NBI spring school is to raise awareness for the importance of proper research data management (RDM) in general, but will also provide a practical toolbox for the RDM topics Data Management Planning, FAIR data and Reproducibility. Furthermore, a practical training on accessing the data for re-use and integration are part of the learning goals.

The training course is targeted towards early career scientists like PhD students and Postdocs who want to share, archive and publish their research data.
No programming skills are necessary.
Basic knowledge about research data management would be a plus.

Research Data Management, Data Management Plan, Data Life Cycle, Standards, Data curation, Data archiving and publication, Data licensing


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Application & Registration:
Apply here 
Deadline: 15 February 

Successful candidates will get free accommodation during the spring school. Breakfast, lunch and social events are also included. Only travel expenses need to be paid the participants.