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Collaborative for Historical Information and Analysis: Vision and Work Plan

Zadorozhny, Vladimir and Manning, Patrick and Bain, Daniel J and Mostern, Ruth (2013) Collaborative for Historical Information and Analysis: Vision and Work Plan. Journal of World-Historical Information, 1 (1). 1 - 14.

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Abstract

<jats:p>This article conveys the vision of a world-historical dataset, constructed in order to provide data on human social affairs at the global level over the past several centuries. The construction of this dataset will allow the routine application of tools developed for analyzing “Big Data” to global, historical analysis. The work is conducted by the Collaborative for Historical Information and Analysis (CHIA). This association of groups at universities and research institutes in the U.S. and Europe includes five groups funded by the National Science Foundation for work to construct infrastructure for collecting and archiving data on a global level. The article identifies the elements of infrastructure-building, shows how they are connected, and sets the project in the context of previous and current efforts to build large-scale historical datasets. The project is developing a crowd-sourcing application for ingesting and documenting data, a broad and flexible archive, and a “data hoover” process to locate and gather historical datasets for inclusion. In addition, the article identifies four types of data and analytical questions to be explored through this data resource, addressing development, governance, social structure, and the interaction of social and natural variables.</jats:p>


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zadorozhny, Vladimir
Manning, Patrick
Bain, Daniel J
Mostern, Ruth
Date: 20 February 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Journal of World-Historical Information
Volume: 1
Number: 1
Publisher: University Library System, University of Pittsburgh
Page Range: 1 - 14
DOI or Unique Handle: 10.5195/jwhi.2013.2
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Date Deposited: 15 Jul 2013 19:53
Last Modified: 04 Aug 2020 23:55
URI: http://d-scholarship.pitt.edu/id/eprint/19285

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