Big Data: Large-Scale Historical Infrastructure from the Minnesota Population Center.

IF 1.6 2区 历史学 Q1 HISTORY Historical Methods Pub Date : 2011-01-01 DOI:10.1080/01615440.2011.564572
Matthew Sobek, Lara Cleveland, Sarah Flood, Patricia Kelly Hall, Miriam L King, Steven Ruggles, Matthew Schroeder
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引用次数: 37

Abstract

The Minnesota Population Center (MPC) provides aggregate data and microdata that have been integrated and harmonized to maximize crosstemporal and cross-spatial comparability. All MPC data products are distributed free of charge through an interactive Web interface that enables users to limit the data and metadata being analyzed to samples and variables of interest to their research. In this article, the authors describe the integrated databases available from the MPC, report on recent additions and enhancements to these data sets, and summarize new online tools and resources that help users to analyze the data over time. They conclude with a description of the MPC's newest and largest infrastructure project to date: a global population and environment data network.

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大数据:明尼苏达州人口中心的大规模历史基础设施。
明尼苏达州人口中心(MPC)提供整合和协调的汇总数据和微数据,以最大限度地提高跨时间和跨空间的可比性。所有MPC数据产品都是通过交互式Web界面免费分发的,用户可以将分析的数据和元数据限制为他们研究感兴趣的样本和变量。在本文中,作者描述了MPC提供的集成数据库,报告了这些数据集的最新添加和增强,并总结了帮助用户分析数据的新在线工具和资源。他们最后描述了MPC迄今为止最新、最大的基础设施项目:全球人口与环境数据网络。
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来源期刊
Historical Methods
Historical Methods Multiple-
CiteScore
3.20
自引率
7.10%
发文量
13
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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