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Publications Strategy

Researchers generate new knowledge and the more effective the dissemination of this knowledge, the greater the likelihood that this research delivers impact. To drive the greater dissemination of knowledge, USQ researchers are encouraged to publish in quality and high quality journals in their respective discipline. Furthermore, publishing in such journals also drives excellence ratings (such as ERA) and international rankings.

A quality journal is determined by:

  • A Source Normalised Impact per Paper (SNIP) of 1 or greater; or
  • Inclusion in the top 50% of Australian Council of Deans’ journal ranking lists; or
  • Inclusion in a discipline-specific list of aspirational journals and other high prestige outputs.

A high quality journal is determined by:

  • A SNIP of 2 or greater; or
  • Inclusion in the first quartile (top 25%) of journals in a discipline, ranked by impact factor; or
  • Inclusion in the first quartile (top 25%) of Australian Council of Deans' journal ranking lists; or
  • Inclusion in a discipline-specific list of aspirational journals and other high prestige outputs.

Note: These definitions of quality and high quality journals align with the Academic Division's Academic Workload Allocation Model (ADAWAM).

SNIP Values can be found at:

Discipline-Specific Recommended Publications can be identified at: 

SCImago

For the purposes of the ADAWAM, below are lists for ERA reportable publications. However, to maximise your research efforts, we strongly encourage you to publish in quality and high quality journals described above.

ERA Eligible Journals and Conferences can be identified at:

Other Useful inks: 

The guides below have been designed to assist you to make more informed decisions about where and how to publish your research outputs.

The following files are presentations about Scopus and Journal Metrics.

ABS Curf Microdata

USQ has an agreement with the Australian Bureau of Statistics (ABS) to provide public use of Confidentialised Unit Record Files (CURFs) for research purposes. CURFs contain unidentifiable data from ABS surveys in the form of a unit record and are accessible from the ABS Microdata website. The unit level for a CURF may be a household, an income unit or a family. The datasets have been confidentialised.