Introduction
Research data management (RDM) is a vital part of the scientific process. It helps keep your research accurate, reliable, and repeatable. It also helps protect sensitive information and makes it easier for other scientists to build on your findings. The ever-evolving nature of research requires a dynamic approach to the handling of research data, a challenge that Kiel University continuously addresses through appropriate measures. To guide subject-specific handling of research data, the university endorses the principles outlined in its guideline for research data management (german only).1
This guide is here to help you get started with research data management at CRC 1261. You’ll learn about the tools and services available that can help you manage your research data like a pro. You’ll also discover the best practices for each stage of your research data journey, from planning and collecting to preserving, sharing, and reusing. By following these guidelines, you’ll be on your way to successful data management and even more successful research.
The services and tools in this guide follow the recommendations from the Central Research Data Management at Kiel University. This includes helpful tips for data storage and backup, metadata management, and data sharing. Researchers and staff are encouraged to use these resources to ensure proper data management and to help make their research results more reproducible and shareable.
If you have any questions, feel free to contact us.