Consultation Paper - Review of Excellence in Research for A…

The ARC also acknowledged that for some units of assessment there might be no impact, or insufficient impact, to report. If a university met the low-volume threshold in a unit of assessment but

• the majority of the research outputs were primarily basic or fundamental research

OR

• the research area at the university was too new

then a university could request that the unit not be assessed for impact. There was no option to request not to be assessed for engagement. The low-volume threshold did not apply to the interdisciplinary or the Aboriginal and Torres Strait Islander research impact studies. Universities could opt-in to either or both. For more information on the EI low volume threshold, please refer to the EI 2018 Assessment Handbook, Section 1.4.1.

Issues to be explored

Q4.14

The EI low-volume threshold should continue to be based on the number of research outputs submitted for ERA. Strongly agree; Agree; Neither agree or disagree; Disagree; Strongly disagree. a. If you disagree, how should eligibility for assessment in EI be determined? Please explain your answer. The low volume threshold is set at the appropriate level. Strongly agree; Agree; Neither agree or disagree; Disagree; Strongly disagree. Please explain your answer.

Q4.15

4.3.5 Engagement indicators

In EI 2018, four engagement indicators were assessed:

• cash support from research end-users (specified Higher Education Research Data Collection (HERDC) Category 1 20 and Categories 2,3 and 4) • HERDC research income (specified Category 1 and Categories 2,3 and 4) per full-time equivalent research staff • proportion of specified HERDC Category 1 grants to total HERDC Category 1—grant amount and number of grants

research commercialisation income.

The engagement indicators were assessed holistically, as a suite of indicators, and within the context of the entire engagement unit of assessment, including the engagement narrative, and indicator explanatory statement. The indicator explanatory statement could be used to provide context or further explanation for the indicators. For example, universities could explain any anomalies in the data. The ARC also collected data on co-supervision of Higher Degree by Research (HDR) students by research end-users. However, this data was not assessed in EI 2018. Not assessing this data in

20 Specified HERDC Category 1 grants are grants identified as having an end-user component. More information and a list of Specific HERDC Category 1 grants can be found in the EI 2018 Assessment Handbook at Appendix H.

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