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Research performance analytics

The Office of Research and Innovation (ORI) provides advice, analysis, and interpretation of corporate and sector-wide data on ECU’s research performance for strategic planning, institutional benchmarking and University-wide performance evaluation.

ORI prepares high-level and timely analyses of the University’s research performance at University, School, Research Institute/Centre and discipline levels. Analyses draw on a range of data and metrics including research income, research grants, HDR completions, research outputs, citations, and collaboration.

Research performance analyses are supported by analytical tools such as VIP-R, a third party benchmarking platform that draws on a combination of ECU internal data and publically-available data at the national and international level. Analyses can also be supported by EIM, which is a data warehouse drawing on internal data from ECU systems such as Oracle Financials, RAS and the ECU Research Management System (ECURMS).

Citation databases, such as Scopus and Web of Science, index both outputs and the references made between them, the latter of which are referred to as citations. These databases, which can be accessed online via the Library, also record co-authorship data for outputs at the individual, institutional and country level. This data can be used to perform publication-based, citation-based and collaboration analyses. Dedicated tools have also been developed that can be used to undertake more sophisticated research performance analyses based on this publication, citation and collaboration data. This includes SciVal and InCites, the former drawing upon data from Scopus and the latter from Web of Science.

Excellence in Research For Australia (ERA)

NOTE: If attempting to access these documents via Wi-Fi or external to ECU, you will need to connect to ECU using the Cisco VPN client.

Excellence in Research For Australia (ERA) is an initiative of the Federal Government to evaluate the quality of publicly-funded research undertaken by Australian universities. There have been four ERA rounds, in 2010, 2012, 2015, 2018. ERA is facilitated by the Australian Research Council (ARC). More information can be found from the Australian Research Council's ERA homepage.

ERA Time Series Report

The ERA Time Series Report presents a comparison of ECU submission data and ratings outcomes from all four rounds of ERA. The focus of the report is on the Fields of Research (FoRs) that were assessed (i.e. met the relevant minimum threshold of research outputs to be evaluated) and on key differences between rounds.  The report is divided into two sections:

Part A: Overview of the ERA process, how ERA is assessed, and institutional-level outcomes

Part B: Summaries of ERA data and outcomes for two-digit and four-digit FoRs

This report was last updated on 18 January 2019. It is expected that the ARC will release the ERA-2018 evaluation outcomes in the first quarter of 2019 – this report will be updated as soon as these outcomes are released.

Please note that these reports are confidential and are for ECU internal use only.

ERA 2018 Explanatory Statements

Explanatory Statements for each of the 2-digit ANZSRC Field of Research codes assessed as part of ECU’s submission for ERA-2018 can be found below. Confidential for ECU Internal Use only.

Research analytics scenarios

Listed below are a number of research performance analytics scenarios and the potential data sources that could be used to support these analyses. Refer to Research Performance Analytics: Research Performance Analysis Options at ECU for examples of research performance measures and supporting systems.

The Benchmarking module in SciVal enables ECU to be benchmarked against Australia, the World and groups of countries such as APEC and G20, using a range of publication-based data, including citation-based and collaboration metrics. The Analytics module in InCites can also be used to measure ECU performance across a range of citation-based and collaboration metrics against global and national baselines.

The Benchmarking module in SciVal and the Analytics module in InCites can be used to measure ECU performance across a range of citation-based and collaboration metrics against Australian and/or overseas institutions.

Selected VIP-R analyses can also be used to benchmark ECU against national and international institutions, including in the areas of research income and academic staffing. In particular, VIP-R can draw on data reported to and published by the Department of Education and Training  in order to benchmark ECU  performance in relation to research income, research outputs, and HDR supervised completions. Benchmarking can be achieved using either total counts of income, outputs or completions or by normalising these counts based on census-date measures of academic staff FTE.

VIP-R can draw on data from ERA 2010, ERA 2012 and ERA 2015 in order compare ECU performance against other Australian universities in terms of research income, research commercialisation income, and research outputs. Outputs and income data can be filtered by two-digit and four-digit Field of Research (FoR) codes and can also be normalised based on academic FTE. ECU’s ERA ratings across two-digit and four-digit FoR codes can also be compared with those of other Australian universities

The Benchmarking module in SciVal and the Analytics module in InCites can be used to measure ECU performance against national and international institutions at the two-digit and four-digit FoR level.

Both VIP-R and EIM can be used to gather data on research outputs (publications and non-traditional research outputs) at the school and researcher level. VIP-R and EIM can also be used to identify the outputs per four-digit Field of Research (FoR) code for schools, research centres, and individual researchers.

The Benchmarking module in SciVal and the Analytics module in InCites can be used to measure researcher level performance across a range of publication-based, citation-based and collaboration metrics. The Overview module in SciVal can also be used to capture publications, citations and collaboration data for individual researchers.

EIM can be used to gather data on research income and research completions at the school and researcher level. Income data is available for all HERDC categories and completions data includes the number of timely completions at Masters and PhD levels.


For assistance with research performance data analytics, contact:

Research Performance Data Analyst
Gordon McIntyre
Telephone: (61 8) 6304 5707

Senior Manager, Research Analytics, Systems and Performance
Michelle Duryea
Telephone: (61 8) 6304 2617

For assistance with the use of citation databases, contact:

Library Research Services
Telephone:(61 8) 6304 5525

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