VALiD - Visual Analytics in Data-Driven Journalism

As data journalists face increasingly complex and heterogeneous data, the research project works on suitable Visual Analytics methods and their integration into journalistic workflows.

VALiD - Data-Driven Journalism

Like many other organizations, publishing houses and the news industry are facing tremendous challenges in making sense of the ever-growing amount of information. The goal of this project is to substantially improve Visual Analytics (VA) technologies to support the investigation of complex and heterogeneous data sources in Data-Driven Journalism (DDJ). The emphasis hereby will be on bridging three DDJ gaps we identified: the usage gap (usable systems), the technology gap (dealing with complex heterogeneous data), and the workflow gap (facilitating DDJ in daily newsroom routines) while focusing specifically on (1) time-oriented text and (2) time-oriented network data. To achieve this, a user-centered and problem-driven design and evaluation approach will ensure the practical utility and usability of the intended methods and concepts, which will be bundled and evaluated in form of a research prototype. The collaboration with prestigious Austrian media outlets and the future integration into the business partner’s IT service portfolio will guarantee the sustainable exploitation of results as well as the economic strengthening of the media landscape.

Data Driven Journalism

VALiD Consortium


Aigner, W. (2023, May 22). Visualization Literacy & Onboarding. VRVis Forum #176 | Digital Humanism, Vienna, Austria.
Stoiber, C., Emrich, Š., & Aigner, W. (2023). Design Guidelines for Visualization Onboarding Concepts in Data Journalism [Vortrag]. STS Conference, Graz.
Rind, A., Aigner, W., Böck, J., Grassinger, F., Oliveira, V. A. de. J., Wu, H.-Y., & Zauchinger, M. (2022, September 30). Daten erlebbar machen: Wie Daten sichtbar, hörbar und greifbar werden [Demo & Poster]. European Researchers" Night 2022, St. Pölten.
Aigner, W. (2022, June 30). TimeViz: Visualization of Time-Oriented Data [Invited Talk]. CSIG-VIS International Lecture Series - ChinaVis, Online.
Aigner, W. (2022, June 10). TimeViz: Visualization of Time-Oriented Data [Invited Talk]. Seminar Series on "Information Technology Outlook," Bari, Italy.
Rind, A., Böck, J., Boucher, M., Grassinger, F., Kirchknopf, A., Stoiber, C., Stumpe, E., & Zauchinger, M. (2022). Wie können wir Daten erlebbar machen? [Demo & Poster]. Lange Nacht der Forschung 2022, St. Pölten.
Dahnert, M., Rind, A., Aigner, W., & Kehrer, J. (2019). Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context. ArXiv:1906.07377 [Cs].
Stoiber, C., Rind, A., Grassinger, F., Gutounig, R., Goldgruber, E., Sedlmair, M., Emrich, S., & Aigner, W. (2019). netflower: Dynamic Network Visualization for Data Journalists. Computer Graphics Forum (EuroVis "19), 38.
Niederer, C., Blumenstein, K., Wagner, M., Emrich, S., & Aigner, W. (2018). Visualizing Text Data in Space and Time to Augment a Political News Broadcast on a Second Screen. 9th International Conference on Information Visualization Theory and Applications (IVAPP 2018).
Niederer, C., Größbacher, S. G., Aigner, W., Judmaier, P., & Seidl, M. (2017). Comic Experience: Narrative & Collaborative Drawing on a Multi-Touch Table in an Art Museum. Proceedings of the 10th Forum Media Technology 2017.
Blumenstein, K., Niederer, C., Wagner, M., Pfersmann, W., Seidl, M., & Aigner, W. (2017). Visualizing Spatial and Time-Oriented Data in a Second Screen Application. Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services.
Rind, A., Haberson, A., Blumenstein, K., Niederer, C., Wagner, M., & Aigner, W. (2017). PubViz: Lightweight Visual Presentation of Publication Data. In B. Kozlíková, T. Schreck, & T. Wischgoll (Eds.), Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper (pp. 169–173). EuroGraphics.
Blumenstein, K., Leitner, B., Thür, N., Kirchknopf, A., Seidl, M., & Aigner, W. (2017). LiveVis: Visualizing Results of Second Screen Surveys in Real Time at TV Stages. Workshop Vis in Practice - Visualization Solutions in the Wild, IEEE VIS 2017.
Tominski, C., Aigner, W., Miksch, S., & Schumann, H. (2017). Images of Time: Visual Representation of Time-Oriented Data. In A. Black, P. Luna, O. Lund, & S. Walker (Eds.), Information Design: Research and Practice (pp. 23–42). Gower/Routledge.
Kromer, L., Wagner, M., Blumenstein, K., Rind, A., & Aigner, W. (2016). Performance Comparison between Unity and D3.js for Cross-Platform Visualization on Mobile Devices. Proceedings of the 9th Forum Media Technology 2016, 47–52.
Aigner, W., & Blumenstein, K. (2016, March 5). Data Visualisation in Time-Based Media [Workshop]. c-tv Konferenz, St. Pölten, Austria.
Blumenstein, K., Niederer, C., Wagner, M., Schmiedl, G., Rind, A., & Aigner, W. (2016). 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, 125–132.
Niederer, C., Rind, A., Aigner, W., Ausserhofer, J., Gutounig, R., & Sedlmair, M. (2016). Visual Exploration of Media Transparency for Data Journalists: Problem Characterization and Abstraction. Proceedings of the 10th Forschungsforum Der Österreichischen Fachhochschulen.
Rind, A., Pfahler, D., Niederer, C., & Aigner, W. (2016). Exploring Media Transparency With Multiple Views. In W. Aigner, G. Schmiedl, K. Blumenstein, & M. Zeppelzauer (Eds.), Proceedings of the 9th Forum Media Technology 2016 (pp. 65–73).
Niederer, C., Rind, A., & Aigner, W. (2016). Multi-Device Visualisation Design for Climbing Self-Assessment. Proceedings of International Conference on Information Visualisation (IV16), 171–176.
Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2016). Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation. Information Visualization, 15(4), 288–300.
Blumenstein, K., Wagner, M., & Aigner, W. (2015, November 15). Cross-Platform InfoVis Frameworks for Multiple Users, Screens and Devices: Requirements and Challenges. DEXiS 2015 Workshop on Data Exploration for Interactive Surfaces. Workshop in Conjunction Wirth ACM ITS"15.
Niederer, C., Aigner, W., & Rind, A. (2015). Survey on Visualizing Dynamic, Weighted, and Directed Graphs in the Context of Data-Driven Journalism. In H.-J. Schulz, B. Urban, & U. Freiherr von Lukas (Eds.), Proceedings of the International Summer School on Visual Computing (pp. 49–58). Frauenhoferverlag.
Blumenstein, K., Wagner, M., Aigner, W., von Suess, R., Prochaska, H., Püringer, J., Zeppelzauer, M., & Sedlmair, M. (2015). Interactive Data Visualization for Second Screen Applications: State of the Art and Technical Challenges. In H.-J. Schulz, B. Urban, & U. Freiherr von Lukas (Eds.), Proceedings of the International Summer School on Visual Computing (pp. 35–48). Frauenhoferverlag.
Stitz, H., Gratzl, S., Aigner, W., & Streit, M. (2015). ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor. Poster Abstracts of IEEE Conference on Information Visualization (InfoVis "15).
Blumenstein, K. (2015). Interactive Mobile Data Visualization for Second Screen. Doctoral Consortium on Computer Vision, Imaging and Computer Graphics Theory and Applications (DCVISIGRAPP 2015).
Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2015). Visualization Techniques for Time-Oriented Data. In M. O. Ward, G. Grinstein, & D. Keim (Eds.), Interactive Data Visualization: Foundations, Techniques, and Applications (2nd ed., pp. 253–284). A K Peters/CRC Press.

Press coverage

Die schönsten Geschichten schreiben die Zahlen

Medium: Die Presse
Autor: Daniel Pohselt

Forum Medientechnik

Medium: Film, Sound & Media

Vorbereiten auf die digitale Welt

Medium: Der Standard

Wissenschaft und Forschung in Niederösterreich

Medium: UNIVERSUM Magazin

Sinn aus der Informationsflut ziehen

Medium: Monitor

Campustalk – Visuelle Aufbereitung von Daten im Journalismus

Medium: Campus & City Radio 94.4

Big Data & Co: Wie filtert man Informationen und Zusammenhänge aus einem Berg an Daten? Das mehrere Hochschulen übergreifende Forschungsprojekt "VALID - Visual Analytics in Data-Driven Journalism" beschäftigt sich mit komplexen und heterogenen Daten und ihre mögliche Implementierung in journalistische Arbeitsprozesse. Projektleiter FH Prof. Dr. Wolfgang Aigner (FH St. Pölten) und -mitarbeiter Mag. (FH) Julian Ausserhofer (FH JOANNEUM) sprechen dazu u. a. über die Entwicklung von Visual Analytics Technologien und den historischen Begriff des Datenjournalismus.

Sinnsuche in Parlamentsprotokollen

Medium: FH-Magazin FUTURE Ausgabe 03
Author: Mark Hammer

Wenn JournalistInnen heutzutage die Welt erklären wollen, müssen sie aus gewaltigen Datenmengen die richtigen Schlüsse ziehen. Ein Projekt der FH St. Pölten entwickelt Hilfsmittel dafür.
von Mark Hammer

Malen nach komplexen Zahlen

Medium:  Der Standard
Author: Selina Thaler

Big Data – und welche Chancen Daten bieten

Medium: Die Presse

"Landkarte und Kompass für den Datendschungel"

Medium: Der Standard
Autor: Alois Pumhösel

External Staff
Dipl.-Inf. Dr. Michael Sedlmair, Universität Wien
Dipl.-Ing. (FH) Elena Rudkowsky, Universität Wien
Mag. (FH) Julian Ausserhofer, FH Joanneum
Mag. Thomas Wolkinger, FH Joanneum
Mag. Dr. Robert Gutounig, FH Joanneum
Dipl.-Ing. Niki Popper, Landsiedl, Popper OG
Dr. Štefan Emrich, Landsiedl, Popper OG
Mag. Michael Schmid, Landsiedl, Popper OG
  • University of Vienna, Department of Computer Science, Visualization and Data Analysis research group (VDA)
  • Joanneum University of Applied Sciences, Institute for Journalism and Public Relations (PR)
  • Landsiedl, Popper OG – drahtwarenhandlung film & animation
Austrian Ministry for Transport, Innovation and Technology under the initiative "ICT of the future", project 845598
01/01/2015 – 12/31/2018
Involved Institutes, Groups and Centers
Institute of Creative\Media/Technologies
Research Group Media Computing