Navigation system for recording and analysis of complex clinical data for personalized medicine

Life science researcher are facing a growing amount of research data. This is a challenge regarding the structure acquisition and storage, but also the analysis. Without adequate tools for data acquisition, handling and analysis the search for new patterns and correlations is proverbially a search for a needle in a haystack. This project aims to combine successful means of data visualization with a generic research platform for medical research. A integrative research platform will be created which covers the whole process of knowledge discovery from data modeling, over acquisition and handling to analysis.

In this project we aim to create an integrated research (data) infrastructure that actively guides the medical expert through this process and provides support in tasks that usually require profound IT knowledge. This guidance is a fundamental aspect of the system and is not only responsible for showing the user in which part of the knowledge discovery process she is currently working, but also for giving hints and revealing possible consequences of currently available options. For each part of the process different algorithms and methods are necessary to provide this guidance. In the phase of data modeling, e.g., it is necessary to analyze the data model, while in the phase of data exploration statistical and machine learning algorithms are used to grab the attention of the user to discovered correlations, patterns and outliers.

Journal Publications

  • Katarina Furmanova, Samuel Gratzl, Holger Stitz, Thomas Zichner, Miroslava Jaresova, Martin Ennemoser, Alexander Lex, Marc Streit
    Taggle: Scalable Visualization of Tabular Data through Aggregation
    IEEE Transactions on Visualization and Computer Graphics (under review)
  • Davide Ceneda, Theresia Gschwandtner, Thorsten May, Silvia Miksch, Hans-Jörg Schulz, Marc Streit, Christian Tominski
    Characterizing Guidance in Visual Analytics
    IEEE Transactions on Visualization and Computer Graphics (VAST '16), 23(1), pp. 111-120, 2017
    PDF | Publisher
  • Samuel Gratzl, Alexander Lex, Nils Gehlenborg, Nicola Cosgrove, Marc Streit
    From Visual Exploration to Storytelling and Back Again
    Computer Graphics Forum (EuroVis '16), vol. 35, no. 3, pp. 491-500, 2016
    Paper Homepage

Extended Abstracts and Posters

  • Katarina Furmanova, Miroslava Jaresova, Bikram Kawan, Holger Stitz, Martin Ennemoser, Samuel Gratzl, Alexander Lex, Marc Streit
    Taggle: Scaling Table Visualization through Aggregation
    IEEE Conference on Information Visualization (InfoVis ’17), Phoenix, AZ, USA, 2017
    Poster Abstract | Poster | Video
  • Holger Stitz, Samuel Gratzl, Harald Piringer, and Marc Streit
    Provenance-Based Visualization Retrieval
    IEEE Conference on Visual Analytics Science and Technology (VAST ’17), Phoenix, AZ, USA, 2017
     IEEE VAST 2017 Best Poster Award Poster Abstract | Poster | Video
  • Reem Hourieh, Holger Stitz, Nils Gehlenborg, Marc Streit
    TaCo: Comparative Visualization of Large Tabular Data
    Poster Compendium of the Eurographics/IEEE Symposium on Visualization (EuroVis ’16), Groningen, Netherlands, 2016.
    Poster Abstract | Poster | Video


  • 13.10.2016
    Veranstaltung DIGITAL MEDTECH – be inspired!, Medizintechnik-Cluster, Business Upper Austria, OÖ Wirtschaftsagentur GmbH
    Vortragender: Dr. David Fuchs und Prof. Marc Streit
  • 29.02.2016
    Gründungskommission der Medizin-Fakultät an der Johannes Kepler Universität
    Vortragender: Prof. Marc Streit
  • 11.11.2015
    Kepler Science Day
    Vortragender: Prof. Marc Streit


  • Reem Hourieh | Master's Thesis
    Comparative Visualization of Large Tabular Data
    Supervision: Prof. Marc Streit

You can contact us, via marc.streit@jku or

The TourGuide project (FFG 851460) is funded by the State of Upper Austria via the Innovatives Oberösterreich 2020 program.

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