Cite Data
Citations give credit to others for their work and ideas and allow readers to track down the original work if they choose. Citing data has not always been standard practice, especially if it is data you have collected yourself, but as data becomes more widely shared, proper attribution is increasingly important. Citing datasets helps them become part of the scholarly record and gives proper credit to the creator of the datsets. It also allows researchers to look at the underlying data supporting your research to build upon your research or attempt to reproduce your results.The Robertson Library maintains several Style Guides for review. Here is some guidance on the citing data using the two most popular styles:
APA, 7th ed |
O’Donohue, W. (2017). Content analysis of undergraduate psychology textbooks (ICPSR 21600; Version V1) [Data set]. ICPSR. https://doi.org/10.3886/ICPSR36966.v1 |
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MLA, 9th ed |
Online document: Author Last Name, First Name. "Title of Document: Subtitle if Any." Statistics Canada, Date of publication, URL. Accessed Day Month Year site was visited. More example available on the Lower Canada College guide on citing Statistics in MLA 9th ed. |
Michigan State University and Memorial University have comprehensive guides which outlines basic rules for citing data when a chosen style does not outline the proper conventions.