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When we think of data, we usually think of statistical tables. However research data can take the form of the following kinds of information:
Lab notebooks, field notes, diaries
Survey and test responses
Methodologies and workflows
Procedures and Protocols
Locating research data can stimulate ideas about the kinds of data you might like to gather, as well as provide sources of information to explore and analyze for your own research.
In this module, you will:
Become familiar with a variety of data sources
Identify tools for visualizing data
Consider data management issues
Many data repositories are produced by the U.S. government, international governmental entities, or professional organizations. These may be freely available but often require special software programs to view and manipulate the data.
Explore Data.gov - a U.S. government website where you can search for data sets by keyword or browse by general categories.
Can you answer this question?
How many towns were incorporated in Massachusetts in 1775?
Use the Historical Statistics of the United States (Millennial edition) to locate data from the U.S. Colonial period including population, economics, government, agricultural and manufacturing statistics.
Click on the link to Governance and International Relations
On the right, select the chapter, Colonial Statistics
From the Tables list, select Migration and Labor
Select the table: Towns settled and incorporated in New England….
Data visualization is a way of analyzing, understanding and communicating the meaning of data.
At the University of Arizona, this is taught within departments such as Computer Science and The School of Information: Science, Technology and the Arts (SISTA), etc. In addition, the University Information Libraries offers data visualization resources.
The following examples highlight the possibilities for data visualization.
Provides easy access to current and historical census data and demographic information for the United States. You can create thematic and interactive maps, and customized reports.
The following guides from the NIH and North Carolina State University give an overview of tools, tutorials and other resources that exist for data visualization. Access to some of what is shown on these sites is limited to students, faculty and staff at the respective institutions, but the guides do offer tutorials and other resources that will help you learn about data visualization.