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    Visual analytics (VA) application research faces rigor and value challenges. This article proposes a research agenda with 12 open challenges to enhance scientific impact and rigor in VA applications.

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    Area of Science:

    • Computer Science
    • Data Science
    • Human-Computer Interaction

    Background:

    • Visual analytics (VA) applications have shown significant progress and real-world impact in diverse fields like bioinformatics and urban analytics over the last 20 years.
    • Despite successes, the scientific rigor and demonstrable value of VA application research are increasingly questioned, posing a grand challenge.

    Purpose of the Study:

    • To address the rigor and value challenges in visual analytics application research.
    • To propose a comprehensive research and development agenda for enhancing the impact and scientific rigor of VA applications.

    Main Methods:

    • Analysis of the characteristics inherent to VA application research that contribute to the rigor and value problem.
    • Development of a proposed research ecosystem designed to foster improvements in scientific value and rigor.

    Main Results:

    • Identification of the root causes behind the rigor and value issues in VA application research.
    • An outlined agenda comprising 12 open challenges across four key areas: foundation, methodology, application, and community.

    Conclusions:

    • The proposed research agenda and ecosystem aim to guide future efforts toward more rigorous and impactful visual analytics research.
    • Encouraging community-wide discussion, debate, and innovation is crucial for advancing the field of VA application research.