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Research Data Management Resources

Data management best practices, funder mandates, data sharing options, and local resources for research data management.

Why Cite Data?

Just as books and journals are cited in a standard way to acknowledge and identify research sources, data also benefits from citation. Data citation: 

  • enables easy reuse and verification of data
  • allows the impact of data to be tracked
  • creates a scholarly structure that recognises and rewards data producers

Data Citation Components

  • Author/ Creator (Individual, group, or organization)
  • Title
  • Year of Publication
  • Publisher (often the repository where the data is housed)
  • Version or edition
  • Access Information (URL, DOI, or another persistent identifier)

General Format
Author (Year). Title with Version. Publisher. Access Information. 

Data Citation Styles

Doe, J., & Smith, J. (2012). Title of data set [Data set]. doi: 10.5494/8569855

Chicago (Bibliography style)
Doe, J., and Smith, J. The best data set ever (accessed February 4, 2018). doi: 10.5494/8569855

Citing Medicine (ICJME Recommendations)
Kraemer MUG, Sinka ME, Duda KA, Mylne A, Shearer FM, Brady OJ, Messina JP, Barker CM, Moore CG, Carvalho RG, Coelho GE, Van Bortel W, Hendrickx G, Schaffner F, Wint GRW, Elyazar IRF, Teng H, Hay SI. The global compendium of Aedes aegypti and Ae. albopictus occurrence [dataset]. 2015 Jun 30 [cited 2015 Oct 23]. Dryad Digital Repository. Available from: Referenced in doi: 10.7554/eLife.08347 

Kingsolver JG, Hoekstra HE, Hoekstra JM, Berrigan D, Vignieri SN, Hill CE, Hoang A, Gibert P, Beerli P (2001) Data from: The strength of phenotypic selection in natural populations. Dryad Digital Repository. doi:10.5061/dryad.166

You can find many other examples, presented by style, at the Dataset Citation site developed by Michigan State University's library.

Helpful Tools and Resources