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What We Talk About When We Talk About Data Physicality.

Dietmar Offenhuber

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    This summary is machine-generated.

    Data physicalizations challenge traditional data definitions by mapping data to physical forms. This study proposes a framework to analyze how physicalizations reshape our understanding of data, exploring its connection to the world.

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    Area of Science:

    • Data Visualization
    • Design Theory
    • Critical Data Studies

    Background:

    • Data physicalizations map data to physical forms, but canonical examples often lack external datasets.
    • This disconnect prompts a re-evaluation of traditional concepts of data within the practice of physicalization.

    Purpose of the Study:

    • To propose a conceptual framework for examining the relationship between data physicalizations and data.
    • To develop a two-dimensional conceptual space for comparing diverse data perspectives in physicalization.

    Main Methods:

    • Drawing from design theory and critical data studies, a conceptual space is developed with two axes: epistemological/ontological (data-mind) and representational/relational (data-world).
    • Examples of data physicalizations are analyzed within each quadrant of this space to illustrate aesthetic and conceptual implications.
    • The framework is used to scrutinize assumptions about data in existing physicalization literature.

    Main Results:

    • The framework clarifies how different perspectives on data (epistemological, ontological, representational, relational) are embedded in data physicalizations.
    • Analysis reveals explicit and implicit assumptions about data within the field of physicalization literature.

    Conclusions:

    • Data physicalization practice necessitates a rethinking of traditional data notions.
    • The proposed framework encourages practitioners to consider the dynamic relationship between data, its physical manifestations, and the phenomena they represent.
    • Exploring the data-world relationship offers a generative source for creative tension in data physicalization.