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How to cite research data

Citing research data is essential to ensure that such data can be easily identified, correctly attributed to its creator, retrieved and reused later.

As established by DataCite, research data must be quoted correctly, following a specific citation format, just as there are specific formats for citing articles, case studies, and so on.

As a general rule, the minimum requirements for citing data are a complete bibliographic reference, in addition to a unique and permanent identifier used to access it (e.g. a handle or DOI). Example of a data citation format:

Creator (Year of publication). Title. Editor. Unique identifier (DOI, handle)

It may also be a good idea to include information on the version and type of resource (as appropriate). The recommended way to do it as follows: Creator (Year of publication). Title. Version. Editor. Type of resource. Unique identifier (DOI, handle)

You should also keep in mind that the data stored on databases such as Zenodo, Dryad, Pangaea and FigShare are assigned a DOI, and in this case it is better to use a DOI as the unique identifier.

In addition, we offer a digital object identifier through the el DOI Citation Formatter a simple interface that extracts metadata automatically from a DOI and creates a complete citation. It is compatible with over 500 different citation styles in 45 different languages.

Examples of data citations in Catalan (taken from the UPC http://publica.upc.edu/ca/estil/dades):

EMAS upv