Research Data Management Toolkit: Data Citation
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.
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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 |
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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.
