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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 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.

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