Skip to content
University of Maryland LibrariesDigital Repository at the University of Maryland
    • Login
    View Item 
    •   DRUM
    • College of Information Studies
    • Information Studies
    • Information Studies Research Works
    • View Item
    •   DRUM
    • College of Information Studies
    • Information Studies
    • Information Studies Research Works
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Community-based Data Validation Practices in Citizen Science

    Thumbnail
    View/Open
    WigginsHe2016.pdf (37.55Mb)
    No. of downloads: 230

    Date
    2016-03-02
    Author
    Wiggins, Andrea
    He, Yurong
    Citation
    Andrea Wiggins and Yurong He. 2016. Community-based Data Validation Practices in Citizen Science. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 1548-1559. DOI=http://dx.doi.org/10.1145/2818048.2820063
    DRUM DOI
    https://doi.org/10.13016/M2N733
    Metadata
    Show full item record
    Abstract
    Technology-supported citizen science has created huge volumes of data with increasing potential to facilitate scientific progress, however, verifying data quality is still a substantial hurdle due to the limitations of existing data quality mechanisms. In this study, we adopted a mixed methods approach to investigate community-based data validation practices and the characteristics of records of wildlife species observations that affected the outcomes of collaborative data quality management in an online community where people record what they see in the nature. The findings describe the processes that both relied upon and added to information provenance through information stewardship behaviors, which led to improved reliability and informativity. The likelihood of community-based validation interactions were predicted by several factors, including the types of organisms observed and whether the data were submitted from a mobile device. We conclude with implications for technology design, citizen science practices, and research.
    URI
    http://hdl.handle.net/1903/17441
    Collections
    • Information Studies Research Works

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility
     

     

    Browse

    All of DRUMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    Pages
    About DRUMAbout Download Statistics

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility