Little Data Streams to the Big Data River: Data-Based Solutions to Non-Data Questions and Their Implications for the CHIA Project
Abstract
This article offers an example of how a “traditional” reading of an historical text can invite, and be enhanced by, a data-driven analysis. It suggests that historians who do not work primarily in data keep in mind the possibility that their research, viewed from the correct angle, may contribute to the collection of world-historical data. The data on the National Hungarian Weekend Association, overwhelmingly qualitative, nonetheless permitted construction of a useful dataset. The social composition of leadership in the organization revealed an unexpectedly narrow and clear pattern through an orderly investigation of organizational registration lists.
Recommended Citation
Behrendt, A. (2015). Little Data Streams to the Big Data River: Data-Based Solutions to Non-Data Questions and Their Implications for the CHIA Project. Journal of World-Historical Information, 2-3(1) University of Pittsburgh Press.
The definitive version is available at https://doi.org/10.5195/JWHI.2015.16
Department(s)
History and Political Science
International Standard Serial Number (ISSN)
2169-0812
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2015 Andrew Behrendt, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
28 Aug 2015
