Document (#43475)

Author
Organisciak, P.
Schmidt, B.M.
Downie, J.S.
Title
Giving shape to large digital libraries through exploratory data analysis
Source
Journal of the Association for Information Science and Technology. 73(2022) no.2, S.317-332
Year
2022
Series
JASIST special issue on digital humanities (DH): C. Methodological innovations, challenges, and new interest in DH
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.
Content
Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24547.
Theme
Data Mining

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