The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your
interaction with the ARDC and use of our national research infrastructure and services. The survey will take
approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure
services including Reasearch Link Australia.
We will use the information you provide to improve the national research infrastructure and services we
deliver and to report on user satisfaction to the Australian Government’s National Collaborative Research
Infrastructure Strategy (NCRIS) program.
Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
Complete the 5 min survey now by clicking on the link below.
Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less
Optimising feeds to support ecosystem-based aquaculture. This project aims to assess the global and local consequences of changing feeds in aquaculture by developing a new interdisciplinary sustainability assessment framework. The project expects to generate new methods to understand and predict local farm-to-ecosystem changes and global environmental footprints under contrasting feed and climate scenarios by integrating field data with novel experiments, modelling techniques and global mapping ....Optimising feeds to support ecosystem-based aquaculture. This project aims to assess the global and local consequences of changing feeds in aquaculture by developing a new interdisciplinary sustainability assessment framework. The project expects to generate new methods to understand and predict local farm-to-ecosystem changes and global environmental footprints under contrasting feed and climate scenarios by integrating field data with novel experiments, modelling techniques and global mapping of terrestrial and marine feed raw materials and their impacts. Expected outcomes include new methods to assess ecological, social and economic trade-offs under different feeds to inform decision making in support of an ecosystem-based approach to aquaculture spanning global to local scales.Read moreRead less