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This page is reproduced, with some additional boxes, from "Citing sources: Cite data" from MIT Libraries licensed CC-BY-NC 4.0
Cite data in your paper/presentation so that you can:
Include in your citation:
Using citation software or style guides? In Endnote use the reference type for "dataset." If you're using Mendeley or Zotero, make due with using other more generic reference type templates and fill in the essentials for your dataset.
Want detailed guidelines for citing data? See:
Examples of data citations include:
Data archives may provide guidelines on how to cite the data, e.g.,:
As Zotero currently lacks an "item type" for datasets, enter the citation in the system as a "Document," depending upon if/how the data producer provides a recommended citation; either:
See Zotero documentation and also our guide on using Zotero.
A DOI, or Digital Object Identifier, is a persistent identifier which aims to perpetually resolve to an information object. The objects can be an online article, research document, journal article, and even a dataset. Here is an example of a DOI:10.1000/182. This URL will resolve to the object https://doi.org/10.1000/182. Adding a DOI to you dataset will help readers locate it now and in the future.
For datasets, the Figshare, Zenodo, and Dryad repositories will provide a DOI for uploaded works. In addition, there may be a domain-specific repository in your field which provides a DOI for datasets. The journal Scientific Data maintains a good list of repositories you can look at.
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