VisGap - The Gap between Visualization Research and Visualization Software

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Browsing VisGap - The Gap between Visualization Research and Visualization Software by Subject "centered computing"

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    Better Information Visualization Software Through Packages for Data Science Ecosystems
    (The Eurographics Association, 2023) Henkin, Rafael; Gillmann, Christina; Krone, Michael; Reina, Guido; Wischgoll, Thomas
    Good software development practices are important factors for the successful translation of visualization research into software. This paper argues for the creation of packages for data science ecosystems, with Python and R as case studies, as a way to employ existing tools and infrastructure towards better information visualization software. The paper describes open practices, sustainability and FAIR software to motivate package development. The ecosystems of Python and R are then reviewed based on general software development aspects and how common features of visualization software, such as rendering and interactivity, are supported. It concludes with the software engineering benefits related to creating packages in Python and R and initiatives to overcome obstacles that may hinder the development of better software.
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    Towards Closing the Gap of Medical Visualization Research and Clinical Daily Routine
    (The Eurographics Association, 2020) Maack, Robin Georg Claus; Saur, Dorothee; Hagen, Hans; Scheuermann, Gerik; Gillman, Christina; Gillmann, Christina and Krone, Michael and Reina, Guido and Wischgoll, Thomas
    Medical visualization papers are constantly published throughout the last years, but many never make their way into clinical daily routine. In this manuscript we aim to examine the gap between visualization research and clinical daily routine and suggest a mechanism that can lead towards closing this gap. We first identify the actors involved in developing new medical visualization approaches and their different views in this process. Then we develop a software development process unifying all actors and their needs. In addition, we collect further barriers in the medical software development process.