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Citing Sources

Referencing, avoiding plagiarism, and presentation of the Chicago Style

Why is Citing Data Important?

Making research data open and accessible to other researchers, to allow them to re-use the data and check the results has become an important issue. Dataset citation allows data creators to get credit and recognition for their work and rewards them for sharing their data. Most citation styles, including the Chicago style, have not dealt with this problem for the moment and do not provide a real citation format.

What Belongs in a Data Citation?

More or less the same information that belongs in the citation of other sources:

  • Name of the author
  • Title of the data set
  • Year of publication
  • Data repository or archive
  • A permanent identifier, such as a DOI

Principles and Examples