• Afterword: Novel Knowledge, or Cleansing Dirty Data: Toward Open-Source Histories of the Novel

    Author(s):
    Emily Friedman (see profile)
    Date:
    2021
    Group(s):
    ASECS DH Caucus
    Subject(s):
    Digital humanities, English literature, Eighteenth century, Information visualization, Data curation
    Item Type:
    Book chapter
    Tag(s):
    18th-century English literature, Data visualization
    Permanent URL:
    http://dx.doi.org/10.17613/wck5-q192
    Abstract:
    This afterword discusses the most important, most under-rewarded, and most unsexy aspect of data visualization: the production and use of reliable underlying data. Starting from the premise that visualizations are only as good as their underlying evidentiary base, Freidman addresses the contributions of digital projects that have laid the foundation for such practices, including massive multi-institution projects like Orlando, mid-sized projects like The Early Novels Database (END), and the author’s own small-scale project, Manuscript Fiction in the Age of Print (MFAP). Following this assessment, the author proposes a set of guidelines for best practices in creating new data so that amendable, transformable visualizations can be produced, built on collective knowledge.
    Metadata:
    xml
    Published as:
    Book chapter     Show details
    Pub. DOI:
    https://doi.org/10.1007/978-3-030-54913-8_10
    Publisher:
    Springer International Publishing
    Pub. Date:
    2021-3-23
    Book Title:
    Data Visualization in Enlightenment Literature and Culture
    Author/Editor:
    Emily C. Friedman
    Page Range:
    351 - 370
    ISBN:
    9783030549121
    Status:
    Published
    Last Updated:
    3 years ago
    License:
    All Rights Reserved
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