%0 Conference Proceedings %1 schimmler2022nfdi4cat %A Schimmler, Sonja %A Bönisch, Thomas %A Horsch, Martin Thomas %A Petrenko, Taras %A Schembera, Björn %A Kushnarenko, Volodymyr %A Wentzel, Bianca %A Kirstein, Fabian %A Viemann, Harald %A Holeňa, Martin %A Linke, David %B E-Science-Tage 2021: Share Your Research Data %D 2022 %E Heuveline, Vincent %E Bisheh, Nina %I heiBOOKS %K %R heibooks.979.c13738 %T NFDI4Cat: Local and overarching data infrastructures %U https://doi.org/10.11588/heibooks.979.c13738 %X The NFDI is a German national initiative that aims to develop repositories, tools, standards, and best practices for research data management across all scientific disciplines. Until 2022, approximately 30 consortia will be formed under the umbrella of the NFDI e.V. association. NFDI for Catalysis-Related Sciences (NFDI4Cat) is one of these consortia, which targets research data management for catalysis-related sciences, a field that is of strategic importance for the economy and the society as a whole. In this paper, we give a brief overview of the consortium and introduce its planned local and overarching data infrastructures. We further describe our approach for requirements analysis, and provide some first insights on our findings.

@proceedings{schimmler2022nfdi4cat, abstract = {The NFDI is a German national initiative that aims to develop repositories, tools, standards, and best practices for research data management across all scientific disciplines. Until 2022, approximately 30 consortia will be formed under the umbrella of the NFDI e.V. association. NFDI for Catalysis-Related Sciences (NFDI4Cat) is one of these consortia, which targets research data management for catalysis-related sciences, a field that is of strategic importance for the economy and the society as a whole. In this paper, we give a brief overview of the consortium and introduce its planned local and overarching data infrastructures. We further describe our approach for requirements analysis, and provide some first insights on our findings. }, added-at = {2022-04-26T09:46:46.000+0200}, author = {Schimmler, Sonja and Bönisch, Thomas and Horsch, Martin Thomas and Petrenko, Taras and Schembera, Björn and Kushnarenko, Volodymyr and Wentzel, Bianca and Kirstein, Fabian and Viemann, Harald and Holeňa, Martin and Linke, David}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2da873c0f3d95484f709e9bd235881503/bjoernschembera}, doi = {heibooks.979.c13738}, editor = {Heuveline, Vincent and Bisheh, Nina}, eventdate = {2021}, eventtitle = {E-Science-Tage 2021: Share Your Research Data}, interhash = {d5510f99d0ea1885f8effad99c61a4ca}, intrahash = {da873c0f3d95484f709e9bd235881503}, keywords = {}, publisher = {heiBOOKS}, series = {E-Science-Tage 2021: Share Your Research Data}, timestamp = {2022-04-26T07:46:46.000+0200}, title = {NFDI4Cat: Local and overarching data infrastructures}, url = {https://doi.org/10.11588/heibooks.979.c13738}, venue = {Universität Heidelberg}, year = 2022 }