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Giving shape to large digital libraries through exploratory data analysis

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  • Peter Organisciak
  • Benjamin M. Schmidt
  • J. Stephen Downie

Abstract

The emergence of large multi‐institutional digital libraries has opened the door to aggregate‐level examinations of the published word. Such large‐scale analysis offers a new way to pursue traditional problems in the humanities and social sciences, using digital methods to ask routine questions of large corpora. However, inquiry into multiple centuries of books is constrained by the burdens of scale, where statistical inference is technically complex and limited by hurdles to access and flexibility. This work examines the role that exploratory data analysis and visualization tools may play in understanding large bibliographic datasets. We present one such tool, HathiTrust+Bookworm, which allows multifaceted exploration of the multimillion work HathiTrust Digital Library, and center it in the broader space of scholarly tools for exploratory data analysis.

Suggested Citation

  • Peter Organisciak & Benjamin M. Schmidt & J. Stephen Downie, 2022. "Giving shape to large digital libraries through exploratory data analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(2), pages 317-332, February.
    • Handle: RePEc:bla:jinfst:v:73:y:2022:i:2:p:317-332
    DOI: 10.1002/asi.24547
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    1. Monroe, Burt L. & Colaresi, Michael P. & Quinn, Kevin M., 2008. "Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict," Political Analysis, Cambridge University Press, vol. 16(4), pages 372-403.
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