INF | Collaboration Infrastructure
Project Collaboration Infrastructure (INF) supports the research projects across the consortium primarily in the areas of research data management (RDM) and data curation, shared resources, and virtual collaboration. RDM is essential for repeatable research, and even more for state-of-the-art research projects and consortia, where
infrastructure and coordination on a large scale are needed. Providing reliable storage and open access supports long-term outreach, open science, and trust in the scientific field. Shared resources (e.g., hard- and software) allows research groups to work with a large variety of advanced devices often not affordable for a single group, while sharing information (e.g., high-quality streaming of events) supports virtual collaboration and doctoral training across sites.
Fig. 1: Talk at the Powerwall at the University of Konstanz
Publications
- F. Schreiber et al., “Sustainable software development in science – insights from 20 years of Vanted,” Journal of Integrative Bioinformatics, p. 20250007, 2025, doi: 10.1515/jib-2025-0007.
- D. Garkov et al., “Interactive delineation and quantification of anatomical structure with virtual reality,” bioRxiv 2025.06.17.659041, 2025, doi: 10.1101/2025.06.17.659041.
- M. Becher, C. Müller, D. Sellenthin, T. Ertl, G. Reina, and D. Weiskopf, “Your Visualisations are Going Places: SciVis on Gaming Consoles,” in Proc. JapanVis, 2024.
- C. Müller and T. Ertl, “Quantifying Performance Gains of DirectStorage for the Visualisation of Time-Dependent Particle Data Sets,” Journal of Visualization, 2024, doi: 10.1007/s12650-024-01036-3.
- D. Garkov et al., “Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis,” arXiv preprint, 2024, doi: 10.48550/arXiv.2412.14776.
- P. Gralka, C. Müller, M. Heinemann, G. Reina, D. Weiskopf, and T. Ertl, “Power Overwhelming: The One With the Oscilloscopes,” Journal of Visualization, Aug. 2024, doi: 10.1007/s12650-024-01001-0.
- D. Bienroth et al., “Spatially resolved transcriptomics in immersive environments,” Visual Computing for Industry, Biomedicine, and Art, vol. 5, Art. no. 1, 2022, doi: 10.1186/s42492-021-00098-6.
- F. Schreiber and D. Weiskopf, “Quantitative Visual Computing,” it - Information Technology, vol. 64, pp. 119–120, 2022, doi: 10.1515/itit-2022-0048.
- M. Becher et al., “Situated Visual Analysis and Live Monitoring for Manufacturing,” IEEE Computer Graphics and Applications, p. 1, 2022.
- D. Garkov, C. Müller, M. Braun, D. Weiskopf, and F. Schreiber, “Research Data Curation in Visualization : Position Paper.” IEEE, pp. 56–65, 2022. doi: 10.1109/beliv57783.2022.00011.
- A. Niarakis et al., “Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology,” Briefings in bioinformatics, vol. 23, Art. no. 4, 2022.
- C. Müller, M. Heinemann, D. Weiskopf, and T. Ertl, “Power Overwhelming: Quantifying the Energy Cost of Visualisation,” in Proceedings of the 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), Oct. 2022, pp. 38–46. doi: 10.1109/BELIV57783.2022.00009.
- F. Frieß, M. Becher, G. Reina, and T. Ertl, “Amortised Encoding for Large High-Resolution Displays,” in 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), 2021, pp. 53–62. [Online]. Available: https://ieeexplore.ieee.org/document/9623235
- K. Klein, D. Garkov, S. Rütschlin, T. Böttcher, and F. Schreiber, “QSDB—a graphical Quorum Sensing Database,” Database, vol. 2021, Art. no. 2021, Nov. 2021, doi: 10.1093/database/baab058.
- K. Schatz et al., “2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution,” IEEE Computer Graphics and Applications, vol. 41, Art. no. 6, 2021, doi: 10.1109/MCG.2020.3004613.
- F. Frieß, C. Müller, and T. Ertl, “Real-Time High-Resolution Visualisation,” in Proceedings of the Eurographics Symposium on Vision, Modeling, and Visualization (VMV), J. Krüger, M. Niessner, and J. Stückler, Eds., The Eurographics Association, 2020, pp. 127–135. doi: 10.2312/vmv.20201195.
- V. Bruder, C. Müller, S. Frey, and T. Ertl, “On Evaluating Runtime Performance of Interactive Visualizations,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, pp. 2848–2862, Sep. 2020, [Online]. Available: https://ieeexplore.ieee.org/document/8637795
- F. Frieß, M. Braun, V. Bruder, S. Frey, G. Reina, and T. Ertl, “Foveated Encoding for Large High-Resolution Displays,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, Art. no. 2, 2020, doi: 10.1109/TVCG.2020.3030445.
- C. Müller, M. Braun, and T. Ertl, “Optimised Molecular Graphics on the HoloLens,” in IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019, IEEE, 2019, pp. 97–102. doi: 10.1109/VR.2019.8798111.
- C. Müller et al., “Interactive Molecular Graphics for Augmented Reality Using HoloLens,” Journal of Integrative Bioinformatics, vol. 15, Art. no. 2, 2018.
- F. Frieß, M. Landwehr, V. Bruder, S. Frey, and T. Ertl, “Adaptive Encoder Settings for Interactive Remote Visualisation on High-Resolution Displays,” in Proceedings of the IEEE Symposium on Large Data Analysis and Visualization - Short Papers (LDAV), IEEE, 2018, pp. 87–91. [Online]. Available: https://ieeexplore.ieee.org/document/8739215
The RTSP streaming solution for the tele-conferencing solution has been implemented and is now regularly used for the lecture series and other invited talks.
Project Group A
Models and Measures
Completed
Project Group B
Adaptive Algorithms
Completed
Project Group C
Interaction
Completed
Project Group D
Applications
Completed
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© SFB-TRR 161 | Quantitative Methods for Visual Computing | 2019.