There are many citation styles but the most popular ones are:
We have guides available to use in the library, or you can see the staff at the Jenkins Center on campus as a quick resource.
The Purdue Online Writing Lab (OWL) is also great for quick APA and MLA reference styles.
MLA Handbook
In Reference Collection
Accurately citing data sources is essential because it allows for transparency, credibility, and reproducibility in research and information dissemination. By citing data sources, researchers and authors give credit to the original creators, acknowledging their contributions. It also enables readers to verify the information, evaluate the reliability of the data, and locate the sources for further exploration. Proper citation of data sources promotes academic integrity and ensures that future studies can build upon and replicate previous findings. Additionally, accurate citations facilitate the ethical use of data, respecting intellectual property rights and avoiding plagiarism.
It is important to cite not only the literature consulted but also the data or statistics used. The elements of a data/statistics citation include: