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Vispubdata.org: A Metadata Collection About IEEE Visualization (VIS) Publications.

Petra Isenberg, Florian Heimerl, Steffen Koch

    IEEE Transactions on Visualization and Computer Graphics
    |January 24, 2017
    PubMed
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    A new dataset details every paper from IEEE Visualization (VIS) conferences, aiding research into the field's evolution and text data visualization techniques.

    Area of Science:

    • Computer Science
    • Information Science

    Background:

    • The IEEE Visualization (VIS) conference series is a premier venue for visualization research.
    • A comprehensive dataset of its publications is needed to analyze trends and facilitate research.

    Purpose of the Study:

    • To create and release a comprehensive dataset of all papers from IEEE Visualization (VIS) conferences.
    • To provide a resource for understanding the evolution of the data visualization field.
    • To offer a document collection for text data visualization research.

    Main Methods:

    • Collected publication data from InfoVis, SciVis, VAST, and Vis conferences.
    • Cleaned and coalesced data, including titles, abstracts, authors, and citations.
    • Developed three visualizations for data exploration.

    Related Experiment Videos

    Main Results:

    • A publicly available dataset encompassing extensive metadata for IEEE VIS papers.
    • Visualizations that enable exploration of publication trends and relationships.
    • A foundational resource for the data visualization community.

    Conclusions:

    • The created dataset and visualizations serve as valuable tools for the data visualization research community.
    • This resource supports both bibliometric analysis of the field and methodological research in text visualization.