How to Cite Data: Home

The purpose of citations is to enable others to find the same sources you used. Data are like any other source and should be cited in your bibliography and your writing.

About This Guide

This guide provides guidance on how to construct a citation for data.  Doing so is important to acknowledge the work of others if the data is not your own, but even if it is your own, to enable others to find (and perhaps re-use) your data.  Citing your data enables others to cite your work, contributing to metrics that document your scholarly works and contributions in your field.

Because few citation style guides offer guidance on how to cite data, this set of reccommendations should not be taken as the final word on styles.  If you have a question, check with your faculty advisor or the journal in which you hope to publish.

Pages in this guide:

  • Key Components - Find an explanation of why citing your data is important and the key elements that should be included in your citation.
  • Numeric Data - Citing numeric data sets is a little different than citing geospatial ones.  See here examples specific to numeric data.
  • Geospatial Data - See here examples specific to geospatial data.
  • Additional Resources - Find citation guides for specific sources, and related tools for making your data more share-able and find-able.

Data Librarian

Michele Hayslett

Data Management
Numeric Data
Census Data
Locating Data
Website / Blog Page
  • Last Updated: Oct 18, 2016 8:15 AM
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