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
We aim to establish a university 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 university's central 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).
Team
Principal investigator
- Vogl, Raimund, Prof. Dr. rer. nat.
Center for Information Technology
Project member
- Radas, Jonathan
Center for Information Technology
Publications
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.
2022
| Thoring A, Rudolph D, Vogl R. David against Goliath: How a University Cloud Succeeds in the Niche of Higher Education – a User Survey. EPiC Series in Computing 2022;86: 34-23. Abstract |
2021
| Blank-Burian M, Hölters J, Vogl R. JupyterHub on an on-premises cloud -- a special focus on GPU Accelerated Machine Learning and 3D Visualization. EPiC Series in Computing 2021;78: 69-60. Abstract |
2019
| 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 |
2018
| 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 |
2017
| Lopez A, Vogl R, Roller S. Research data infrastructures – a perspective for the State of North Rhine-Westphalia in Germany. In: EUNIS, Münster 2017Abstract |
2016
| 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. 2016 49th Hawaii International Conference on System Sciences (HICSS) 2016: 5328-5337. Abstract |
| Wilms 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 |