Petra Noble, David VAN Riper, Steven Ruggles, Jonathan Schroeder, Monty Hindman
{"title":"Harmonizing Disparate Data across Time and Place: The Integrated Spatio-Temporal Aggregate Data Series.","authors":"Petra Noble, David VAN Riper, Steven Ruggles, Jonathan Schroeder, Monty Hindman","doi":"10.1080/01615440.2011.563228","DOIUrl":null,"url":null,"abstract":"<p><p>In this article, the authors describe a new data infrastructure project being developed at the Minnesota Population Center. The Integrated Spatio-Temporal Aggregate Data Series (ISTADS) will make it easier for researchers to use publicly available aggregate data for the United States over a time span that covers virtually the entire life of the nation: 1790-2012. In addition to facilitating access and ease of use, ISTADS will facilitate the use of these various data sets in mapping and spatial analysis.</p>","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":"44 2","pages":"79-85"},"PeriodicalIF":1.6000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440.2011.563228","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01615440.2011.563228","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
引用次数: 7
Abstract
In this article, the authors describe a new data infrastructure project being developed at the Minnesota Population Center. The Integrated Spatio-Temporal Aggregate Data Series (ISTADS) will make it easier for researchers to use publicly available aggregate data for the United States over a time span that covers virtually the entire life of the nation: 1790-2012. In addition to facilitating access and ease of use, ISTADS will facilitate the use of these various data sets in mapping and spatial analysis.
期刊介绍：
Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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