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Data Literacy - Datasets: Use

Search strategies and resources

Working with Data

Data Management
Find information to help you with data management.
Choosing a Visualization
Use the tools below to help decide on the visualization or statistics test to use on your data.
Free Software
UIW Provides access to Microsoft Excel and IBM SPSS.  Find tutorials about how to get access to SPSS under the UIW Resources for Researchers link below.

Citing Data - General

A data citation should include, at the very least, the following elements:

  • Author(s): the creator(s) of the dataset, in priority order. May be an institution or person(s).
    • The creator should include a "nameIdentifier," such as an Open Researcher and Contributor ID (ORCID) 
  • Publication/Release date: Whichever is the later of: the date the dataset was made available, the date all quality assurance procedures were completed, and the date the embargo period (if applicable) expired.
  • Title: the formal title of the data set
  • Version: the precise version of the data used. 
  • Publisher/Archive/Distributor: the organization distributing or hosting the data, ideally over the long term
  • Identifier: a unique string that identifies the resource; should be a persistent scheme such as a DOI (10.1234/8675309)
  • Access Date: because data can be dynamic and changeable in ways that are not always reflected in release dates and versions, it is important to indicate when on-line data were accessed.


As with all outside information you use, citations for statistics should lead your readers back to the table or data that you used.
Citing Data Guidelines:
Help with how to cite data - generally cite it like you would a research article.  Try to check with your instructor, the journal (author guidelines), other articles, or the original data source.
Citation Guides and Help:
Library guides on various citation styles and information about our writing centers.
Staff LADR