Research data management and infrastructures for visualization, analysis and sustainable software development

Principal investigator: Raimund Vogl
Project number: CRC 1450 INF
Project term: 01/2021–12/2024

Graphical abstract
© CRC inSight

We aim to establish a WWU cloud-based storage platform and database and implement research data management workflows from ingest to long-term availability (1). We will provide a close integration with the central WWU HPC for compute-intensive data analysis, especially for machine learning (2). In addition, we will establish a state-of-theart GitLab/DevOps software development environment to accommodate a common framework architecture for the visualization and analysis methods developed and used in the CRC to ensure their sustainability, reuse and transferability (3).

Finally, we will create a unifying visualization environment and focus on user experience (UX), easy and secure data sharing, performance-optimized remote computing and assisted report generation (4).


Principal investigator

Project member

  • Radas, Jonathan


The names of the principal investigators in our network have been bolded. Publications released prior to 2021, when funding for our network commenced, represent previous project-related work.


Vogl R, Rudolph D, Thoring A. Bringing structure to research data management through a pervasive, scalable and sustainable research data infrastructure. In: Bergener K, Räckers M, Stein A. (Eds.): The Art of Structuring. 2019;Springer, Cham: 501- 514. Abstract


Rudolph D, Thoring A, Vogl R. How to foster open access? An empirical evaluation of the obstacles hindering OA-publication. In: EUNIS, Paris 2018Abstract
Stieglitz S, Vogl R, Rudolph D. Introduction to the minitrack on research data and knowledge systems. In: 51st Hawaii International Conference on System Sciences (HICSS) 2018Abstract
Vogl R, Hölters J, Ketteler-Eising M, Rudolph D, Blank-Burian M, Angenent H, Schild C, Ost S. Creating a sustainable open source based research data infrastructure for North Rhine-Westphalia – with a view to the national RDI Perspective and the EOSC. In: EUNIS, Paris 2018Abstract
Vogl R, Rudolph D, Angenent A, Thoring A. Creating easy-to-use research data management workflows - from data management plan to long-term archiving. In: Digital Infrastructures for Research (DI4R), Lisbon 2018Abstract
Wilms C, Stieglitz S, Buchholz A, Vogl R, Rudolph D. Do researchers dream of research data management?. In: Proceedings of the 51st Hawaii International Conference on System Sciences 2018Abstract


Lopez A, Vogl R, Roller S. Research data infrastructures – a perspective for the State of North Rhine-Westphalia in Germany. In: EUNIS, Münster 2017Abstract


Thoring A, Rudolph D, Vogl R. How do researchers manage their data? An empirical comparison between policies and practice. In: Book of proceedings, EUNIS, Thessaloniki 2016: 330-340. Abstract
Vogl R, Rudolph D, Thoring A, Angenent H, Stieglitz S, Meske C. How to build a cloud storage service for half a million users in higher education: challenges met and solutions found. In: IEEE (Ed.): Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS) 2016: 5328-5337. Abstract
Wilm K, Meske C, Stieglitz S, Rudolph D, Vogl R. How to improve research data management – the case of Sciebo (science box). In: Yamamoto S. (eds) Human Interface and the Management of Information: Applications and Services. 2016;Springer, Cham: 434-442. Abstract