Literature DB >> 21949459

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

Matthew Sobek1, Lara Cleveland, Sarah Flood, Patricia Kelly Hall, Miriam L King, Steven Ruggles, Matthew Schroeder.   

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.

Entities:  

Year:  2011        PMID: 21949459      PMCID: PMC3176592          DOI: 10.1080/01615440.2011.564572

Source DB:  PubMed          Journal:  Hist Methods        ISSN: 0161-5440


  5 in total

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  5 in total
  8 in total

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Journal:  Demography       Date:  2014-02

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Journal:  J Diabetes Complications       Date:  2013-09-19       Impact factor: 2.852

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Review 4.  Translational bioinformatics embraces big data.

Authors:  N H Shah
Journal:  Yearb Med Inform       Date:  2012

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7.  The coming age of data-driven medicine: translational bioinformatics' next frontier.

Authors:  Nigam H Shah; Jessica D Tenenbaum
Journal:  J Am Med Inform Assoc       Date:  2012-06       Impact factor: 4.497

8.  Interoperable and accessible census and survey data from IPUMS.

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  8 in total

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