Skip to main content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Research Data Management

When you are doing research, good data management practices and transparency are essential. This toolbox provides practical information and guidelines for both PhD students and researchers when working with research data.

Citation elements

Citing data is not different from citing a publication. Make sure to check the rules of the journal to know how you should cite when writing an article for a specific academic journal. For all of the journals, however, the minimum compulsory elements in a data citation include:

  • Author(s): Name of the author (creator) of the dataset
  • Title: Name of the dataset
  • Date of publication
  • Publisher: Archive where dataset is stored
  • Persistent Identifier: Unique identifier, most common is the DOI (see section Data Publication).

Optional elements that may be included in the reference are:

  • File Type: Codebook, movie, software
  • Version: Version number of the edition
  • Creation Date
  • Date of Consultation (last)

Example of a data citation:

Stephens, William, 2020, "Resiliences to Radicalisation - QSort Data", https://doi.org/10.34894/35MTMN, DataverseNL, V1.

For more information, see the following guidelines: