In this tutorial, we will introduce the participants to research data solutions provided by the consortia BERD@NFDI and NFDI4Energy. The National Research Data Infrastructure (NFDI) in Germany fosters collaboration and data sharing across disciplines. Launched in 2019, NFDI aims to establish a sustainable infrastructure for managing, accessing, and preserving research data. BERD@NFDI is the consortium for unstructured data in business, economics, and other social sciences. Unstructured data like text, pictures, and audio offer a unique opportunity to answer new types of research questions. But it also comes with a set of challenges in data processing and documentation.
The BERD@NFDI consortia provides solutions for documenting, archiving, and finding data and preprocessing methods as well as training opportunities. With a special focus on the energy sector the necessary transformation of energy systems towards net zero greenhouse gas emissions provides many new research challenges: In this context, the digitalization of cyber-physical energy systems (CPES) alleviates change and equally affects technical, social, and societal topics, as well as the way we do research in the CPES research community. Research efforts towards CPES heavily on modeling and (co-)simulation-based approaches. Tracking models together with all data creates a complex software and data management challenge, which needs to be addressed in each research project. Therefore, NFDI4Energy will develop and provide services to help researchers handle their digital research objects, like research data and software.
In this tutorial, we would like to present the overall idea of NFDI as well as the services provided by BERD@NFDI and NFDI4Energy. BERD@NFDI will focus on the presentations of the functions of the BERD Platform that will go live in Spring 2024. NFDI4Energy will present an outlook of already existing and planned services. Consequentially, the tutorial is highly interactive in its form and should serve as a discussion platform for the wider spreading of FAIR data infrastructures in general and the consortia BERD@NFDI and NFDI4Energy in particular.
We would especially invite participants from the (Green) Information Systems discipline and community to participate, but also practitioners can join and share their practices on the handling of research data and software