Browsing by Author "Hennesy, Cody"

Now showing 1 - 5 of 5
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    ACRL Conference Twitter IDs and Session Descriptions, 2011-2019
    (2021-03-17) Hennesy, Cody; Hanson, Margot; Adams, Annis Lee; chennesy@umn.edu; Hennesy, Cody
    This data includes the (1) Twitter IDs for tweets that used the official conference hashtags at the Association of College & Research Libraries (ACRL) conferences from 2011 to 2019 and (2) the full-text titles and session descriptions for every conference session for the same conference and time period. These data supported a computational text analysis of the relationships between language used on Twitter and the discussion of the same topics as presented in formal program titles and descriptions.
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    Data resources on Academic LibGuides
    (2022-07-05) Hennesy, Cody; McBurney, Jenny; Kubas, Alicia; chennesy@umn.edu; Hennesy, Cody
    A collection of data resources (names and URLs) found listed on the LibGuides platform at 123 R1 institutions.
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    Finding the Haystack: Literacies for Accessing and Using Text as Data
    (2019-06) Hennesy, Cody; Samberg, Rachael; Reardon, Stacy
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    LibGuides dataset: Subject guides at academic libraries
    (2021-05-20) Hennesy, Cody; Adams, Annis Lee; ; chennesy@umn.edu; Hennesy, Cody
    Derived data reflecting organizational practices of 12,781 subject guides on the LibGuides platform from 114 academic institutions. Includes URLs, page titles, descriptions, subject tags, box and tab titles, and profile information collected from subject guides in 2020. Data was used to support a comparative analysis of published "best practices" related to library guides with the actual practices observable across guides.
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    R1 Digital Scholarship Program Survey Dataset, 2020
    (2020-11-10) Wiggins, Benjamin; Hennesy, Cody; Vetruba, Brian; Logsdon, Alexis; Janisch, Emily; chennesy@umn.edu; Hennesy, Cody
    This data represents responses to a survey instrument with twelve qualitative and five quantitative questions used to investigate the infrastructure, activities, and perceived successes and challenges of digital scholarship programs at Carnegie Classification R1: Doctoral Universities in 2020. Our study reveals that digital scholarship programs at large research universities tend to be support-oriented organizations most commonly rooted in libraries but partnered with or funded by other units within major research universities. These programs exist at over three-fourths of R1 institutions and their staff serve a critical function at the intersection of technology and the three core facets of scholarship--research, teaching, and engagement.