It is important to cite data correctly in the same way that you cite journal articles or books. Data is increasingly recognized as an important type of research output that should count towards a researcher's impact.
Citing data is important because:
Note: DOI can function as a web URL too - https://doi.org/[replace this part with any DOI]
The styles of your data citation depends on the requirement from the publisher. The elements of a data citation mentioned earlier may be arranged and formatted in slightly different manners, but the fundamental principle is to provide sufficient information for others to locate the cited dataset.
Example of an APA data citation:
Author. (Year). Title of data set (Version) [Description of form]. Location.
Banda, J. M., Tekumalla, R., Wang, G., Yu, J., Liu, T., Ding, Y., Artemova, K., Tutubalina, E., & Chowell, G. (2021). A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration (Version 75) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5136525
Milberger, S. (2002). Evaluation of violence against women with physical disabilities in Michigan, 2000-2001 (ICPSR version) [data file and codebook]. https://doi.org/10.3886/ICPSR03414
Digital Object Identifier (DOI) is a persistent unique identifier widely used in academic publishing for journal articles and datasets. Similar to how passport number can be used to identify a person, a DOI is used to uniquely identify a dataset. URL links may become outdated and broken, but DOI is designed to be more reliable and long-lasting. It is highly recommended to obtain a DOI for your dataset, and to use this DOI in data citation to facilitate tracking of citation counts and impact.