Goedicke, MichaelLucke, UlrikeMichael, JudithPfeifferJérômeWortmann, Andreas2022-06-302022-06-302022https://dl.gi.de/handle/20.500.12116/38785The demand increases to substantiate the claims made in the scientific processes in the realm of modeling in all areas of computer science. Thus, publications, funding proposals etc. require more often that empirical data (if available) along with the related context of experiments and the artifacts in terms of descriptions, software and other tools will be part of the publication or proposed project as well. Infrastructure will be provided to store and make available this kind of research data according to the FAIR – principles (Findable, Accessible, Interoperable, Reusable) as part of the National Research Data Infrastructure. Within this workshop, the consortium NFIDxCS collected requirements as well as existing approaches to build such an infrastructure with a special focus on modeling issues.enResearch Data ManagementModelling in Computer ScienceFAIR PrinciplesNationale Forschungsdaten InfrastrukturText/Conference Paper10.18420/modellierung2022ws-022