What format should be followed when citing datasets?

Datasets should be formally cited within academic work using a structured reference format, similar to citing traditional publications. This practice acknowledges the creators and enables precise identification and retrieval of the data source. The essential components typically include the dataset's authors or creators, publication year, title of the dataset, version number (if applicable), the repository or distributor name, and a persistent unique identifier like a Digital Object Identifier (DOI) or a Handle. It is crucial to follow the specific citation style guide required by your publisher or discipline (e.g., APA, MLA, Chicago). Consistency in formatting all references throughout the work is mandatory. Including the access date is often recommended, especially for dynamically updated datasets. Accurate citation ensures proper attribution to data creators and supports research reproducibility by allowing others to locate and verify the underlying data. To implement a dataset citation, locate the formal citation metadata typically provided by the repository or publisher hosting the dataset. Reputable data repositories usually display a suggested citation format on the dataset's landing page, which should be used verbatim or adapted precisely to your required style.