VisOnFire

Many scientific fields such as biomedicine or climate research have been confronted with vast and continuously growing amounts of data. However, not data gathering is the grand challenge anymore but its analysis.

Today, large-scale experiments are carried out on powerful server infrastructure as scientific workflows consisting of data transformation and analysis operations. These workflows are created, administered, and changed by potentially large and spatially separated consortia of involved researchers. Due to this complexity, it becomes increasingly hard to gain an overview of all processing steps involved and to trace who has changed what at which place and caused which changes in (intermediate) results. In many contexts, reproducibility of results generated by complex scientific workflows is crucial.

Goal

The primary goal of our project is to realize provenance at all levels, allowing analysts to gain a deeper understanding of the workflow, changes applied to it, and how they influence the results. This will be achieved by developing a visual forensic tool for scientific workflows, which includes novel visual analysis methods that allow for a scalable visualization of the workflow and its changes, a visual comparison of complex data structures, and novel change metrics needed to quantify changes in complex data structures.

Consortium

  • Johannes Kepler University Linz, Institute of Computer Graphics (Marc Streit & Samuel Gratzl)
  • St. Poelten University of Applied Sciences, Institute of Creative\Media/Technologies (Wolfgang Aigner & Christina Niederer)

Cooperations

  • Harvard University, School of Engineering & Applied Sciences, Visual Computing Group (Pfister Lab)
  • Harvard Medical School, Center for Biomedical Informatics, Computational Genomics Group (Park Lab)
  • University of Rostock, Institute for Computer Science, Visual Computing and Computer Graphics

Duration

January 2016 - December 2018

Funding

Austrian Science Fund (FWF), Project P 27975-NBL

Website & Contact

icmt.fhstp.ac.at | wolfgang.aigner@fhstp.ac.at
Fachhochschule St. Poelten GmbH
IC\M/T - Institute of Creative\Media/Technologies
Matthias Corvinus - Straße 15
3100 St. Poelten
T: +43 (0) 2742 313 228 - 611

Publications

Rind, A., A. Haberson, K. Blumenstein, C. Niederer, M. Wagner, and W. Aigner, "PubViz: Lightweight Visual Presentation of Publication Data", Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper: EuroGraphics, pp. 169-173, 06/2017.
Tominski, C., W. Aigner, S. Miksch, and H. Schumann, "Images of Time: Visual Representation of Time-Oriented Data", Information Design: Research and Practice: Gower/Routledge, pp. 23–42, 2017.
Kromer, L., M. Wagner, K. Blumenstein, A. Rind, and W. Aigner, "Performance Comparison between Unity and D3.js for Cross-Platform Visualization on Mobile Devices", Proceedings of the 9th Forum Media Technology 2016: CEUR-WS, pp. 47-52, 11/2016.
Blumenstein, K., C. Niederer, M. Wagner, G. Schmiedl, A. Rind, and W. Aigner, "Evaluating Information Visualization on Mobile Devices: Gaps and Challenges in the Empirical Evaluation Design Space", Proceedings of 2016 Workshop on Beyond Time And Errors: Novel Evaluation Methods For Visualization, Baltimore, MD, USA, ACM, pp. 125-132 , 2016.
Wagner, M., K. Blumenstein, A. Rind, M. Seidl, G. Schmiedl, T. Lammarsch, and W. Aigner, "Native Cross-platform Visualization: A Proof of Concept Based on the Unity3D Game Engine", Proceedings of International Conference on Information Visualisation (IV16), Lisbon, Portugal, IEEE Computer Society Press, pp. 39-44, 07/2016.
Stitz, H., S. Gratzl, W. Aigner, and M. Streit, "ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor", IEEE Transactions on Visualization and Computer Graphics, vol. 22, issue 12, pp. 2594-2607, 12/2015.

Press articles