Here are some useful search strategies for finding the data and statistics you need for your research:
Consider using one of these statistical resources provided by the UWM libraries.
Think about who may be creating data and search their websites/publications
Scan publications for data
Add the word 'statistics' or 'data' to your searches
Ask for help
A general format for citing datasets:
Lowe T, Garwood RJ, Simonsen TJ, Bradley RS, Withers PJ (2013) Data from: Metamorphosis revealed: time-lapse three-dimensional imaging inside a living chrysalis. Dryad Digital Repository. doi:10.5061/dryad.b451g
Lowe, Tristan, Garwood, Russell J., Simonsen, Thomas J., Bradley, Robert S., and Withers, Philip J. (2013). Data from: Metamorphosis revealed: time-lapse three-dimensional imaging inside a living chrysalis. [Dataset]. doi:10.5061/dryad.b451g
In text format:
(U.S. Census Bureau, 2012, Table 270)
U.S. Census Bureau. (2012) "Table 270. Public High School Graduates by State: 1980 to 2009." In U.S. Census Bureau (131st ed.), Statistical Abstract of the United States. Retreived from http://www.census.gov/compendia/statab/2012/tables/12s0270.pdf.
Lowe, Tristan et al. “Data from: Metamorphosis Revealed: Time-lapse Three-dimensional Imaging Inside a Living Chrysalis.” Dryad Digital Repository, 2013. Web. 24 October 2013.
U.S. Census Bureau. "Table 270. Public High School Graduates by State: 1980 to 2009." Statistical Abstract of the United States. 131st ed. U.S. Census Bureau. Washington D.C.: U.S. Census Bureau, 2012. Web. 25 October 2013. <http://www.census.gov/compendia/statab/2012/tables/12s0270.pdf>.
Improving your documentation often means improving your note taking. Good notes are:
README.txt's document digital files and add context whenever clarity is required. They are useful for:
Methods are important documentation that you need to remember to keep with your data. Methods include:
Data dictionaries are particularly useful for spreadsheet data. Data dictionaries describe:
Use a data dictionary when you share data, when you expect to reuse the data, or have a particularly large and complex dataset.
Consistent file naming means you can tell at a glance what a file contains. This is useful for searching through content, for organizing data, and for collaborations/your own reuse.
Use consistent naming for groups of related files. Pick 2-3 things that will help you distinguish a file's contents, such as:
Combine into a patten for naming your files. Follow these other rules:
"20140422_PikeLake_03", "20140424_EastLake_12", etc.
"Smith-2010-ImpactOfStressOnSeaMonkeys", "Hailey-1999-VeryImportantDNAStudy", etc.
Files using proprietary file formats are more difficult to use over time. Convert your data into an open, non-proprietary format that is in wide use. This will improve the odds on reusing your data in the future.
Keep a copy of your data in both formats. The original file lets you use all of the file features and the open copy is a backup in case something happens to the software.
|Tabular data||.csv, .tsv|
The contents of the Library Advanced Research Competencies tutorial may be reused with attribution. Please copy the following into new works based on the Library Advanced Research Competencies:
Library Advanced Research Competencies by Board of Regents of the University of Wisconsin System is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Based on a work at guides.library.uwm.edu.