Below you'll find some resources to help you find and use data. We have some links to get you started here, as well as some guides to data management and data research on campus.

If you're looking for subject specific data, it's best to contact your library liaison.

Data Resources at the U of I Library

Data Management Guide Data Hub: Geospatial and Data Sciences Support

Data by Type

  • National Centers for Environmental Information (NCEI) This database provides information from the National Climatic Data Center, part of the U.S. Department of Commerce. Included are climatic data from major airport weather stations, precipitation data, storm data, and Monthly Climatic Data for the World.

Data Software, Workshops, and Guides


OpenRefine is a free, open source application for manipulating all types of data files. See our OpenRefine workshop.
Tableau Public
Tableau Public is free data visualization software to help you analyze and present your data.


Library Workshops

The University of Idaho Library offers a number of workshops on data analysis, visualization, and software.

Below are some resources related to past workshops:

Guides by Subject:

How to Cite a Dataset

If you are following a particular style, try to form the citation according to the general rules of that style.  If in doubt, it is better to provide more information than less.

The general parts of a data citation are:

  1. Responsible Party; 
  2. Title of dataset; 
  3. Edition or version of dataset, if applicable; 
  4. Name and location of data center, repository, or publisher; 
  5. Date published; 
  6. Analysis software, if required; 
  7. Date accessed; 
  8. URL, DOI or other persistent link; 
  9. Parameters selected, if applicable

Alternately, Mark Parsons from the NCAR Library suggests this:

Author(s).  ReleaseDate. Title, Version. [editor(s)]. Archive. Locator (such as DOI). [date/time accessed]. [subset used].

More information, examples, and thoughts on citing datasets can be found here.