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Research Data Management: Find (re-use) data

Research Data Access Portal

Data citation

"It is now considered ‘best practice’ to provide a reference to data and software in the same way as researchers routinely provide a bibliographic reference to outputs such as journal articles, reports and conference papers. Citing data and software is one of the key practices leading to recognition of data and software as a primary research output." -- Data Citation (ARDC)

 

You need to credit the original source of any data you re-use so:

  • creators can have their data recognised as a separate research output
  • the impact of data usage can be tracked through data citation metrics
  • data can be verified

Creators / authors may specify exactly how they want you to attribute their data. If it is unclear or they do not specify you should include the following details where possible:

  • Creator(s) / Author(s) / Authoring body
  • Publication date
  • Dataset title
  • Version
  • Publisher or Host name
  • Date viewed
  • Identifier (URL, DOI or Handle)

Example:

Data Citation example [Screenshot: UniSA Data Access portal, https://data.unisa.edu.au/Dataset.aspx?DatasetID=46021]

Find data

Image of Sydney Harbour

Image of world globes

Image of Parliament House, Canberra

Image illustrating health and exercise

Image of trees

Data journals

Image of person searchingData journals feature short data articles that describe data sets and link to full data in repositories. They make it easier for researchers to publish their data and make it accessible.

Examples of data journals include:

Recent journal articles on data journals and data sharing:

Walters, WH.. 2020. “Data Journals: Incentivizing Data Access and Documentation Within the Scholarly Communication System”. Insights 33 (1): 18. DOI: http://doi.org/10.1629/uksg.510

Hrynaszkiewicz, I, Harney, J and Cadwallader, L. 2021. A Survey of Researchers’ Needs and Priorities for Data Sharing. Data Science Journal, 20: 31, pp. 1–16. DOI: https://doi. org/10.5334/dsj-2021-031

For more information: ANDS data journals guide

An overview of ANDS investigations of data journals. Webinar also looks at recent initiatives, current examples and future directions of data publishing.