Big Data: Large-Scale Historical Infrastructure from the Minnesota Population Center.
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 da...
| Published in: | Historical Methods Vol. 44; no. 2; pp. 61 - 69 |
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| Main Authors: | , , , , , , |
| Format: | Article |
| Published: |
Taylor & Francis Ltd
Apr-Jun2011
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=61157369&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 61157369 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01615440 HMT jtl: Historical Methods issn: 01615440 maglogo: N pubinfo: dt: Apr-Jun2011 vid: 44 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 61157369 10.1080/01615440.2011.564572 ppf: 61 ppct: 8 formats: tig: atl: Big Data: Large-Scale Historical Infrastructure from the Minnesota Population Center. aug: au: Sobek, Matthew Cleveland, Lara Flood, Sarah Kelly Hall, Patricia King, MiriamL. Ruggles, Steven Schroeder, Matthew affil: Minnesota Population Center, University of Minnesota su: Census Databases Population Social sciences -- Computer network resources Social science methodology Minnesota sug: subj: Minnesota Census Databases Population Social sciences -- Computer network resources Social science methodology keyword: ATUS census data CPS IHIS IPUMS ISTADS Minnesota Population Center NAPP NHGIS survey microdata ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2011 holdings: @attributes: islocal: N |
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