Research Data Management

Citation of Research Data

Authors must properly cite all research data, datasets, software, models, or other research outputs that were used or generated in the course of the research.

If the research data are publicly available in a repository, they should be included in the reference list at the end of the article in the same way as other cited sources. The citation must include key bibliographic elements: the author or creator of the data, year of publication, title of the dataset, name of the repository, and a persistent identifier (e.g., DOI or another persistent identifier – PID).

Whenever possible, authors should ensure that research data are stored in an appropriate repository that enables long-term accessibility, citation, and reuse of the data in accordance with the FAIR principles (Findable, Accessible, Interoperable, Reusable).

If research data cannot be made publicly available due to ethical, legal, or other justified reasons (e.g., protection of personal data), authors must indicate in the article that access to the data is restricted and, where possible, provide a description of the data or the conditions under which they can be accessed.

Example of dataset citation:

Smith, J., & Brown, L. (2022). Dataset on medication adherence among elderly patients in primary care. Dryad Digital Repository. https://doi.org/10.5061/dryad.xxxxxx