Research in the CRC/Transregio 280 generates a significant amount of data, which is constantly increasing in volume and which must be preserved. The challenge arises from the diversity and complexity of the generated information and data, which must be managed with great diligence. The INF-Project develops and integrates the appropriate solutions for this purpose with a focus on the management and analysis of research data. It subsequently provides these solutions to all project participants as part of a comprehensive, virtual and multi-site research environment. To achieve this aim, the INF project collaborates with all project partners to identify the requirements for the information infrastructure. A particularly close collaboration exists with the subprojects A05, A02, E01, and S. Subproject INF supports them, among other things, in the use of AI methods for data mining, in the optimization of codes for the efficient evaluation of tomography data, and in data fusion for sustainability considerations. Recurring tutorials and training courses ensure the continuous transfer of knowledge.
Publikationen | Publications
Unger, R.; Kalthoff, M.; Müller-Pfefferkorn, R.; Nagel, W. (2022) Managing research data in civil engineering research projects in: Stokkeland, S.; Braarud, H. C. [eds.] Concrete Innovation for Sustainability – Proc. for the 6th fib International Congress 2022, 12.–16.06.2022 in Oslo (Norway), Oslo: Novus Press, p. 2668–2675.
Wiesenhuetter, S.; Unger, R.; Noennig, J. (2022) Inspiration Mining for Carbon Concrete Design – through Machine Learning and artistic creativity in: Stokkeland, S.; Braarud, H. C. [eds.] Concrete Innovation for Sustainability – Proc. for the 6th fib International Congress 2022, 12.–16.06.2022 in Oslo (Norway), Oslo: Novus Press, p. 1137–1146.