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NFDI4Energy
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The necessary transformation of energy systems towards net zero greenhouse gas emissions provides a plethora of new research challenges. In this context, the digitalisation towards cyber-physical energy systems (CPES) alleviates change, and equally affects technical, social, and societal topics, as well as the mode of research in the CPES research community. Research efforts towards CPES heavily rely on modelling and (co-)simulation-based approaches. Tracking of models together with all data creates a complex software and data management challenge, which needs to be addressed in each research project. In addition, energy system research is characterized by the fact that there is a strong connection to practice with industry partners on the one hand and a great need to involve society on the other hand. These additional stakeholders further increase the complexity of dealing with data and models in research. To support researchers with these complex challenges, NFDI4Energy takes existing RDM approaches, among others, developed in other NFDI consortia, and adapts them to the needs of its own research community.
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Research Data Management (RDM) for Energy Research
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Research Data Management (RDM) for Energy ResearchThe “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.
Learning Resource Type
Course, Web page
File Format
MD
Languages
English
Media Type
Image, Text
Publication Date
2024-02-08
License
CCBY
Authors
Data
Literacy
Alliance
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