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 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).
Team
Principal investigator
- Vogl, Raimund, Dr. rer. nat.
WWU IT, WWU
Project member
- Radas, Jonathan
WWU IT, WWU
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.
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
| 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 |