Introduction to finding data and statistics

This guide provides an overview of the data services available at the library. It will help you understand the research process and will enable you to save time by using library resources more efficiently.

Why cite your data?

By citing your data, you are:

  • Allowing readers to access your data and encouraging data reuse for new research questions
  • Supporting the transparency and reproducibility of your research
  • Giving proper attribution and credit to the data producer

Citation style guides

Generally, data citation will require these elements:

  • Author(s)
  • Title or Name of the dataset
  • Year of publication
  • Publisher or distributor
  • Locator or identifier (ex. URL, DOI)

It is important to document every quotation, paraphrase and idea that is not your own. Follow the guides below for help on how to cite your data sources in APA, Chicago and MLA style.

Learn about avoiding plagiarism and other citation styles with the Academic GPS and the Citation Management LibGuide.

Helpful Resources