There is no consensus yet in the academic community on how to cite data. There are several reasons for this:
For these reasons, many citation tools have also not included data designation as a type of resource for citation formatting.
As a general rule, when citing data, make sure you include all the information you would include for a regular citation. You should be familiar with the citation style your professor asked you to use or the one you have chosen. Elements that should be present many times vary depending on the style, but note down at least the following, if present:
So, how do I cite the data?
Usually you will find the citation information in the webpage of the data repository or publisher itself. Copy the citation directly in the citation style you are using, if provided, or export it in your citation tool to format it later. Some data providers also give suggestions on how to cite their data, take that into consideration.
Caution! When you find datasets through a registry repository like re3data.org, don't cite the registry! Instead, go the specific URL. If your purpose is to cite the registry then use the re3data.org citation tool
Example of citing data from Dryad repository and in Zotero (source)
If you are using Zotero as a citation tool, select the 'Extra' field in the 'Info' panel of your document (as primary Item Type select Journal Article, especially if you are citing research data from a paper) and fill in 'itemType: dataset'. This will mark your citation as a dataset, providing all the functionality needed.
Here's how ot do it:
In EndNote you can directly add a dataset as a citation type. You can do that either from the online library or the browser plugin