What does the resource contain?

The “Research Data Management (RDM) for Energy Research” course offers a detailed exploration of how to handle research data in the energy sector. The course introduces participants to the FAIR data principles — ensuring data is Findable, Accessible, Interoperable, and Reusable. It emphasizes practical steps for managing data efficiently, from the creation of data management plans to handling complex data from simulations and software in energy projects. The interactive nature of the course, along with real-world examples, ensures a comprehensive understanding of RDM tailored specifically for energy researchers.

The course is hosted on LiaScript, an interactive learning platform, and covers essential topics such as data lifecycle management, data preservation, and sharing practices. Participants will learn about the legal and ethical considerations related to data management in energy research, including open-access strategies and the use of metadata for enhanced collaboration.

How can the resource be applied?

• Self-paced learning for students, PhD students, or early-career researchers.
• Introductory module in workshops or summer schools.
• Supplementary material for trainers preparing lectures or tutorials.

Credits / Source

The initial development of the course was funded by the EFZN’s (Energy Research Centre of Lower Saxony), a broader initiative to foster efficient and transparent research practices in the energy sector, implemented by the Carl von Ossietzky University of Oldenburg, and supported by ZDIN and NFDI4Energy.