Research Data Management (RDM) has gained significant traction in recent years, being essential to allowing research data to be, e.g., findable, accessible, interoperable, and reproducible (FAIR), thereby fostering collaboration or accelerating scientific findings. We present solutions for RDM developed within the DFG-Funded Cluster of Excellence EXC2075 Data-Integrated Simulation Science (SimTech). After an introduction to the scientific context and challenges faced by simulation scientists, we outline the general data management infrastructure and present tools that address these challenges. Exemplary domain applications demonstrate the use and benefits of the proposed data management software solutions. These are complemented by additional measures for enablement and dissemination to foster the adoption of these techniques.
%0 Journal Article
%1 Flemisch2024
%A Flemisch, Bernd
%A Hermann, Sibylle
%A Herschel, Melanie
%A Pflüger, Dirk
%A Pleiss, Jürgen
%A Range, Jan
%A Roy, Sarbani
%A Takamoto, Makoto
%A Uekermann, Benjamin
%D 2024
%J Datenbank-Spektrum
%K forschungsdaten myown publist simtech software
%R 10.1007/s13222-024-00475-4
%T Research Data Management in Simulation Science: Infrastructure, Tools, and Applications
%U https://doi.org/10.1007/s13222-024-00475-4
%X Research Data Management (RDM) has gained significant traction in recent years, being essential to allowing research data to be, e.g., findable, accessible, interoperable, and reproducible (FAIR), thereby fostering collaboration or accelerating scientific findings. We present solutions for RDM developed within the DFG-Funded Cluster of Excellence EXC2075 Data-Integrated Simulation Science (SimTech). After an introduction to the scientific context and challenges faced by simulation scientists, we outline the general data management infrastructure and present tools that address these challenges. Exemplary domain applications demonstrate the use and benefits of the proposed data management software solutions. These are complemented by additional measures for enablement and dissemination to foster the adoption of these techniques.
@article{Flemisch2024,
abstract = {Research Data Management (RDM) has gained significant traction in recent years, being essential to allowing research data to be, e.g., findable, accessible, interoperable, and reproducible (FAIR), thereby fostering collaboration or accelerating scientific findings. We present solutions for RDM developed within the DFG-Funded Cluster of Excellence EXC2075 Data-Integrated Simulation Science (SimTech). After an introduction to the scientific context and challenges faced by simulation scientists, we outline the general data management infrastructure and present tools that address these challenges. Exemplary domain applications demonstrate the use and benefits of the proposed data management software solutions. These are complemented by additional measures for enablement and dissemination to foster the adoption of these techniques.},
added-at = {2024-06-28T06:14:58.000+0200},
author = {Flemisch, Bernd and Hermann, Sibylle and Herschel, Melanie and Pfl{\"u}ger, Dirk and Pleiss, J{\"u}rgen and Range, Jan and Roy, Sarbani and Takamoto, Makoto and Uekermann, Benjamin},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29a5396ccbfb7bb1a7560cc13d4f5b4dc/hermann},
day = 04,
doi = {10.1007/s13222-024-00475-4},
interhash = {c25ded5bbc185790c155f4ebd8117129},
intrahash = {9a5396ccbfb7bb1a7560cc13d4f5b4dc},
issn = {1610-1995},
journal = {Datenbank-Spektrum},
keywords = {forschungsdaten myown publist simtech software},
month = jun,
timestamp = {2024-12-11T13:21:21.000+0100},
title = {Research Data Management in Simulation Science: Infrastructure, Tools, and Applications},
url = {https://doi.org/10.1007/s13222-024-00475-4},
year = 2024
}
