Data citation is an important component of data sharing and data reuse. Citing data gives data creators credit for creating and sharing their work, and creates a trail of research progress similar to the citation of articles and books.
There's good consensus around the minimal components of a data citation:
Creator (Year) Title. Publisher. Identifier
For datasets that have DOIs, DataCite and CrossRef provide a citation formatter to generate a citation matching any of a wide array of journal styles.
A service for researchers and others to obtain and manage long-term identifiers for digital content including data, which makes digital objects easier to access and verify, thus increasing re-use and citations. These identifiers aid data management, data sharing, and citation tracking.
EZID makes it easy to create and manage long-term, globally unique identifiers for your data and sources, ensuring their future discoverability. Use EZID to:
Read more at the EZID Learn page.