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Title:Giving Shape to Large Digital Libraries through Exploratory Data Analysis
Author(s):Organisciak, Peter; Schmidt, Benjamin M.; Downie, J. Stephen
Subject(s):digital libraries
exploratory data analysis
text analysis
visualization
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 multi-faceted exploration of the multi-million work HathiTrust Digital Library, and center it in the broader space of scholarly tools for exploratory data analysis.
Issue Date:2021-07
Publisher:Wiley
Citation Info:Organisciak, P., Schmidt, B. M., & Downie, J. S. (2021). "Giving Shape to Large Digital Libraries through Exploratory Data Analysis". Journal of the American Society for Information Science and Technology. https://doi.org/10.1002/asi.24547
Series/Report:Journal of the American Society for Information Science and Technology
Genre:Article
Type:Text
Language:English
URI:http://hdl.handle.net/2142/110098
DOI:10.1002/asi.24547
Sponsor:NEH #HK-50176-14
Date Available in IDEALS:2021-07-01


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