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Big Data: Large-Scale Historical Infrastructure from the Minnesota Population Center
Matthew Sobek1, Lara Cleveland, Sarah Flood
1Minnesota Population Center, University of Minnesota.
Historical Methods
|September 28, 2011
Summary
The Minnesota Population Center (MPC) offers integrated population data for research. New online tools and a global data network enhance data analysis and accessibility for researchers worldwide.
Area of Science:
- Demography
- Population Studies
- Data Science
Background:
- The Minnesota Population Center (MPC) is a key resource for demographic research.
- Access to harmonized population data is crucial for cross-temporal and cross-spatial analysis.
Purpose of the Study:
- To describe the integrated databases and online tools provided by the MPC.
- To highlight recent data additions and enhancements.
- To introduce the MPC's global population and environment data network.
Main Methods:
- Data integration and harmonization for comparability.
- Development of an interactive web interface for data access.
- Creation of a global population and environment data network.
Main Results:
- Availability of integrated aggregate and microdata.
- Enhanced online tools for data analysis over time.
- Launch of a new global data network infrastructure project.
Conclusions:
- The MPC provides valuable, accessible, and harmonized population data resources.
- New tools and a global network expand research capabilities in population and environmental studies.
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