University of Canberra Showcase

Interviews conducted with community sport clubs relating to policy implementation and advocacy for community sport

Resources on the six key areas of eResearch for researchers at the University of Canberra: (1) Data management planning (2) Data storage (3) Software and tools (4) High performance computing (HPC) (5) Training and events (6) eResearch Committee This material has been collated to allow the disemination of other inaccessible guidance materials for other tertiary institutions to use, alter, or for general guidance.

This document provides the steps necessary to move data from CloudStor data storage service onto the University of Canberra's (UC) institutional OneDrive platform. We outline how moving data off CloudStor can be done onto UC’s OneDrive. But we note that other storage tools may be used instead, and this documnent could provide a framework to develop those migration materials for researchers. This document does not illustrate how to specifically move Group Drives, issues when users do not have enough interim space on their local drives, nor drives which are >1 TB (which is a limit set by UC's OneDrive licensing).

Data values extracted from published figures

This dataset comprises all media releases, speeches, opinion pieces, and transcripts of interviews and doorstops released by the leaders of the two major parties, Scott Morrison and Albanese, through their websites during the 2022 Federal Election Campaign. They are organised by date. The original websites have sense been deleted. The data also includes the topic groupings that the authors used to undertake their analysis of these materials.

Cleaned and filtered Australian grass (Poaceae) occurrence records from the Atlas of Living Australia (ALA), downloaded 3 January 2020. The data file is in an R format (.RDS file). This can be converted and saved into a .csv file in R. I also assigned species photosynthetic pathway (either C3 or C4 photosynthesis) to each species in the data set. I converted the cleaned record into species richness (the number of unique species in 100 x 100 km areas across Australia). I tied native and introduced C3 and C4 grass species richness to key environmental variables to build species distribution models. I expected native and introduced grasses to have similar responses to environmental gradients meaning native species richness patterns could provide a template for potential introduced species richness. These records could be used for other SDM contexts (single-species or within States or Territories). Or for statistical analyses on the phylogenetic (species, generic) composition of grass records in Australia. The location tags on the records, however, provide use for assessing the geographic distribution of the records/species across Australia at different spatial scales and extents and with coupling to environmental data, as I did for these records. Nonnative = introduced (i.e. not native to Australia).

Muehlenbeckia tuggeranong (Tuggeranong lignum) is an endangered subshrub with fewer than ten individuals remaining in it's native habitat and 20 held in an ex-situ living collection in the Australian National Botanic Gardens (ANBG), including seedlings produced ex-situ. The provided datasets contain SNP data for all ex-situ and in-situ individuals of this plant, and closely related congeners from the ANBG. The ultimate aim of the study for which the datasets were produced was to provide management advice for the plant. The data was used to determine that the seedlings were not the result of hybridization between M. tuggeranong and congeners held at the ANBG using PCoA & FST analyses with the package dartRverse in the data program R. As the species can reproduce clonally, the number of unique genotypes held by the ABNG and existing in the wild was analysed using the program COLONY. The genetic diversity was determined for each genetically unique individual in the program R. Finally, to advise on the best breeding pairs to maximise genetic diversity, all potential genetic crosses between the unique genotypes were simulated in R using the gl.sim.crosses function in the dartRpackage in the program R. For each cross, 10 offspring were simulated to reflect the approximate seed yield of the species, and the average heterozygosity across the offspring was calculated. Further information on the data methods and outcomes can be read in the associated paper, "On the precipice of extinction: The use of genetic data in the conservation management of in-situ and ex-situ collections of the critically endangered Muehlenbeckia tuggeranong (Tuggeranong Lignum)" , Walcott et al., 2025.

This statistical code was generated for the data analysis of three research studies as part of a PhD thesis titled: Who benefits most? Evaluating and understanding clinical and biomechanical outcomes following structured education and exercise therapy interventions for people with knee osteoarthritis. Study 2 (Chapter 5) was a methods paper titled " A statistical model of agreement in subjective rating scales—an exploration of the Kellgren-Lawrence radiological grading system." This paper outlines a workflow for a statistical modelling approach for defining radiological knee OA severity and rater agreement from the Kellgren-Lawrence (KL) system. The analysis utilises the cumulative-link model as implemented in 'brms' (https://doi.org/10.1177/2515245918823199). The data generated were used in study 3 and 4. Study 3 (Chapter 6) was a clinical outcomes study titled " The relationship between radiological OA severity or body weight and outcomes following a structured education and exercise therapy program (GLA:D®) for people with knee osteoarthritis." This pre-post study of 33 participants with knee OA evaluated the relationship between a person's body weight or radiological knee compartment severity and short-term outcomes following the GLA:D® program. The data and workflow for this study have been provided which includes the R code for all models and graphics. Study 4 (Chapter 7) was a biomechanical study titled " Knee joint moment changes during walking and chair-rise and the relationship to radiological knee OA severity and body weight following a structured education and exercise intervention (GLA:D®) for knee osteoarthritis". This pre-post study of 31 participants with knee OA evaluated knee joint moment changes during walking and chair-rise and the relationship to radiological knee OA severity and body weight following the GLA:D® intervention. The documents provided includes the preprocessing workflow that imports the original csv files generated from VICON and the code to generate the secondary parameters (such as peak values and total areas under the curve).

510 Years of acknowledgements, from multilinguistic literature, demonstrating that “democracy” means more than one thing and has been practiced in more than one place

This data set contains the transcripts of excerpts from a selection of media conferences by the Hon Dan Andrews MLA, Premier of Victoria, held between August and November 2020. These media conferences were held in the context of the lockdown of Melbourne and the wider state of Victoria due to COVID-19. The excerpts are the portion of the media conference in which the Premier presented his prepared remarks. The excerpts do not include the questions and answer session with journalists which followed his remarks. The rationale for the selection of transcripts for analysis is also available here.