1. Home
  2. Content providers
  3. ARDC Community Connect
Back

ARDC Community Connect

Contact: kathryn.unsworth@ardc.edu.au

The ARDC's Community Connect program coordinated and supported community engagement activity to make researchers aware of, comfortable with, and equipped to take advantage of the infrastructure developed through the national data assets program. Specifically, ARDC is supporting National Data Assets projects in the development and delivery of workshops, training and e-learning materials, and a "community champions" model for their communities.

ARDC Community Connect https://dresa.org.au/content_providers/ardc-community-connect The ARDC's Community Connect program coordinated and supported community engagement activity to make researchers aware of, comfortable with, and equipped to take advantage of the infrastructure developed through the national data assets program. Specifically, ARDC is supporting National Data Assets projects in the development and delivery of workshops, training and e-learning materials, and a "community champions" model for their communities.
Showing 12 material.
Fluoroquinolone antibiotics and Aortic Aneurysm or Dissection 

The main objective of this project was to provide education on the use of data translated to the OMOP common data model. We aimed to showcase how the Atlas interface tool could be used to generate evidence for a highly relevant and significant research question. The clinical question that was...

Keywords: OMOP, Aortic Aneurysm, Fluoroquinolone antibiotics

Fluoroquinolone antibiotics and Aortic Aneurysm or Dissection  https://dresa.org.au/materials/fluoroquinolone-antibiotics-and-aortic-aneurysm-or-dissection The main objective of this project was to provide education on the use of data translated to the OMOP common data model. We aimed to showcase how the Atlas interface tool could be used to generate evidence for a highly relevant and significant research question. The clinical question that was used to demonstrate the process revolved around investigating the potential association between the use of fluoroquinolones to treat urinary tract infection and the risk of experiencing aortic aneurysm and dissection within 30 days, 3 months, or 12 months of treatment initiation compared to other commonly used antibiotics. The workshop aimed to describe how data are translated to the OMOP CDM, how cohorts can be derived in these data, how to execute a robust analysis, and lastly, how to interpret the results of the study. Specifically, we described the process of translating Australian medicines dispensing data to the OMOP CDM, including the translation of the Australia Pharmaceutical Benefits Schedule data to the international RxNorm standard vocabulary. The outcome of the project is an on-line training resource that highlights the process of study execution from start to finish. This training package will serve as an exemplar for researchers in Australia to unlock the value of their data that has been translated into the OMOP CDM. The audience for this project was database programmers, researchers, and decision-makers, and all those interested in using data to inform healthcare. Roger Ward, Nicole Pratt Christine Hallinan OMOP, Aortic Aneurysm, Fluoroquinolone antibiotics
National Transfusion Dataset (NTD) Data Access Request process

A guide and resources on requesting data access from the NTD

Keywords: research data

National Transfusion Dataset (NTD) Data Access Request process https://dresa.org.au/materials/national-transfusion-dataset-ntd-data-access-request-process A guide and resources on requesting data access from the NTD sphpm.ntd@monash.edu research data
National Transfusion Dataset Secure eResearch Platform (SeRP)/SafeHaven Training

A short training video for NTD users on how to access and use the SeRP once data access is granted.

Keywords: research data, Data analysis, research data management

National Transfusion Dataset Secure eResearch Platform (SeRP)/SafeHaven Training https://dresa.org.au/materials/national-transfusion-dataset-secure-eresearch-platform-serp-safehaven-training A short training video for NTD users on how to access and use the SeRP once data access is granted. sphpm.ntd@monash.edu research data, Data analysis, research data management
National Transfusion Dataset (NTD) Data Extraction Guide

A guide for hospital sites contributing data to the NTD.

Keywords: data management

National Transfusion Dataset (NTD) Data Extraction Guide https://dresa.org.au/materials/national-transfusion-dataset-ntd-data-extraction-guide A guide for hospital sites contributing data to the NTD. sphpm.ntd@monash.edu data management
TransectMeasure Annotation Guide

Annotation guide: benthic composition and relief for horizontally facing imagery

Keywords: benthos, video, annotation

TransectMeasure Annotation Guide https://dresa.org.au/materials/transectmeasure-annotation-guide Annotation guide: benthic composition and relief for horizontally facing imagery tim.langlois@uwa.edu.au benthos, video, annotation
EventMeasure Annotation Guide

EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length

Keywords: fish, stereo-video, annotation

EventMeasure Annotation Guide https://dresa.org.au/materials/eventmeasure-annotation-guide EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length tim.langlois@uwa.edu.au fish, stereo-video, annotation
CheckEM User Guide

CheckEM is an open-source web based application which provides quality control assessments on metadata and image annotations of fish stereo-imagery. It is available at marine-ecology.shinyapps.io/CheckEM. The application can assess a range of sampling methods and annotation data formats for...

Keywords: stereo-video, fish, annotation

CheckEM User Guide https://dresa.org.au/materials/checkem-user-guide CheckEM is an open-source web based application which provides quality control assessments on metadata and image annotations of fish stereo-imagery. It is available at marine-ecology.shinyapps.io/CheckEM. The application can assess a range of sampling methods and annotation data formats for common inaccuracies made whilst annotating stereo imagery. CheckEM creates interactive plots and tables in a graphical interface, and provides summarised data and a report of potential errors to download. brooke.gibbons@uwa.edu.au stereo-video, fish, annotation
Stereo-video workflows for fish and benthic ecologists

Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...

Keywords: stereo-video, fish, sharks, habitats

Resource type: tutorial

Stereo-video workflows for fish and benthic ecologists https://dresa.org.au/materials/stereo-video-workflows-for-fish-and-benthic-ecologists Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way. tim.langlois@uwa.edu.au stereo-video, fish, sharks, habitats
Presentation of The Australian Companion Animal Registry of Cancers (ACARCinom)

With support from the Australian Research Data Commons (ARDC) through the Australian Data Partnership program, ACARCinom is the first Australia-wide registry of animal cancer occurrences that addresses the gaps in veterinary cancer data registries. ACARCinom aims to make a positive impact on...

Keywords: cancer, data, dog, cat

Presentation of The Australian Companion Animal Registry of Cancers (ACARCinom) https://dresa.org.au/materials/presentation-of-the-australian-companion-animal-registry-of-cancers-acarcinom With support from the Australian Research Data Commons (ARDC) through the Australian Data Partnership program, ACARCinom is the first Australia-wide registry of animal cancer occurrences that addresses the gaps in veterinary cancer data registries. ACARCinom aims to make a positive impact on cancer research for our pets. Having reliable data is crucial for understanding the patterns of cancer and for evaluating treatments in both animals and humans. Five university veterinary schools and Australia's 2 leading veterinary pathology providers are partnering in the ACARCinom project: The University of Queensland, Queensland University of Technology, University of Sydney, Gribbles Veterinary Pathology, IDEXX, University of Adelaide, Murdoch University By uniting the expertise and resources of these institutions, ACARCinom is poised to make significant advancements in understanding and combating cancer in dogs and cats. This project represents a remarkable collaboration that harnesses the power of data to unlock new insights and drive progress in the field of veterinary oncology. This video explains how the ACARCinom Dashboard works and what its functionalities are. You can have access to the ACARCinom database at the following link: acarcinom.org.au Prof Chiara Palmieri School of Veterinary Science The University of Queensland cancer, data, dog, cat masters phd researcher support
The {traits.build} data model, R package, and workflow

This manual is a step-by-step user guide to the traits.build database model, R package and workflow. It includes a collection of tutorials for building a traits.build database and a tutorial for how to explore data within the AusTraits plant trait database.
A live version is hosted on the...

Keywords: R package, AusTraits, plant traits, database, R workflow

The {traits.build} data model, R package, and workflow https://dresa.org.au/materials/the-traits-build-data-model-r-package-and-workflow This manual is a step-by-step user guide to the `traits.build` database model, R package and workflow. It includes a collection of tutorials for building a `traits.build` database and a tutorial for how to explore data within the AusTraits plant trait database. A live version is hosted on the project's GitHub repository at traitecoevo.github.io/traits.build-book/ . This is the better resource for running the tutorials as you can easily copy sections of code into R studio. `traits.build` is a data standard, R package, and workflow that is desgined to help you build a harmonised, relational database from disparate datasets. The package was first developed to create AusTraits, an open-source database of Australian plant traits. The code has been transformed into a standalone package allowing anyone to build a relational, tabular database for any taxonomic group and any collection of traits. Related resources include:  The AusTraits Plant Trait Database - 10.5281/zenodo.3568417 (dataset), doi.org/10.1038/s41597-021-01006-6 (data paper) The AusTraits Plant Dictionary - 10.5281/zenodo.8040789 (dataset),  10.1101/2023.06.16.545047 (preprint) AusTraits Project website - austraits.org kathryn.unsworth@ardc.edu.au R package, AusTraits, plant traits, database, R workflow
User Manual for the Australian Child and Youth Wellbeing Atlas

This user manual for the Australian Child and Youth Wellbeing Atlas covers key features of the platform, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers...

Keywords: research data, health data, digital research skills, digital research training, Community Connect, ARDC

User Manual for the Australian Child and Youth Wellbeing Atlas https://dresa.org.au/materials/user-manual-for-the-australian-child-and-youth-wellbeing-atlas This user manual for the Australian Child and Youth Wellbeing Atlas covers key features of the platform, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial visualisations and maps at various geographic levels. A/Prof Rebecca Glauert, UWA, Marketa Reeves, UWA research data, health data, digital research skills, digital research training, Community Connect, ARDC
"How To" Video Guide for the Australian Child and Youth Wellbeing Atlas

This "How To" Video Guide for the Australian Child and Youth Wellbeing Atlas covers key features, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial...

Keywords: research data, digital research skills, health data, digital research training, Community Connect, ARDC

"How To" Video Guide for the Australian Child and Youth Wellbeing Atlas https://dresa.org.au/materials/how-to-video-guide-for-the-australian-child-and-youth-wellbeing-atlas This "How To" Video Guide for the Australian Child and Youth Wellbeing Atlas covers key features, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial visualisations and maps at various geographic levels. A/Prof Rebecca Glauert, UWA, Marketa Reeves, UWA research data, digital research skills, health data, digital research training, Community Connect, ARDC
Found 0 upcoming event. Found 0 past event.