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 Toolkit: Data Citation

Best practices in Research Data Management promote research integrity and collaborative opportunities. A Data Management Plan ensures data security, accessibility and validation of results.

Data Citation

Benefits of data citation:

  • Enables the sharing and reuse of datasets
  • Makes data legitimately citable
  • Acknowledges data ownership
  • Allows for the use of data citation metrics

Digital Object Identifiers (DOIs) can be assigned to finalised datasets, benefits include:

  • Journals prefer data which have DOIs assigned to them
  • DOIs are persistent, even if there is a URL change
  • DOIs are searchable via search engines and can reveal grey literature
  • Allows for the tracking of publications which have used or cited a researcher’s dataset

UWA researchers can now upload their datasets into the research data repository UWA profiles and Research Repository and then obtain a DOI for citation purposes. Please email help-repository@uwa.edu.au for further support.

Citation Standards

Standards for data citation vary across disciplines. The following table outlines recommended formats by DataCite.

 

Creator (Publication Year): Title. Publisher. Identifier

Hooper, C., M, (2015): The compendium of crop Proteins with Annotated Locations (cropPAL) version 1. ARC Centre of Excellence in Plant Energy Biology, University of Western Australia. http://dx.doi.org/10.4225/23/556e4e260e093

Creator (PublicationYear): Title. Version. Publisher. ResourceType. Identifier

ISSP Research Group: International Social Survey Programme 2007: Leisure Time and Sports (ISSP 2007). GESIS Data Archive, Cologne, Germany, ZA4850 Data file Vers. 2.0.0, doi:10.4232/1.10079

ANDS Data Citation Process

The Australian National Data Service (ANDS) has developed a poster which outlines the data citation process.

ANDS Data Citation Poster