How can software containers help your research?
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a...
Keywords: containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, training material
How can software containers help your research?
https://zenodo.org/records/5091260
https://dresa.org.au/materials/how-can-software-containers-help-your-research-ca0f9d41-d83b-463b-a548-402c6c642fbf
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a replicable computational environment and supports reproducibility of research results. Understanding the concept of software containers enables researchers to better communicate their research needs with their colleagues and other researchers using and developing containers.
Watch the video here: https://www.youtube.com/watch?v=HelrQnm3v4g
If you want to share this video please use this:
Australian Research Data Commons, 2021. How can software containers help your research?. [video] Available at: https://www.youtube.com/watch?v=HelrQnm3v4g DOI: http://doi.org/10.5281/zenodo.5091260 [Accessed dd Month YYYY].
contact@ardc.edu.au
Australian Research Data Commons
Martinez, Paula Andrea (type: ProjectLeader)
Sam Muirhead (type: Producer)
The ARDC Communications Team (type: Editor)
The ARDC Skills and Workforce Development Team (type: ProjectMember)
The ARDC eResearch Infrastructure & Services (type: ProjectMember)
The ARDC Nectar Cloud Services team (type: ProjectMember)
containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, training material
Exploratory Data Analysis
This is the second of three modules in our exciting new machine learning workshop series by the Sydney Informatics Hub (SIH).
Module 1: https://youtu.be/dMwHFhKWRRI
Module 3:...
Keywords: Data analysis, training material
Exploratory Data Analysis
https://youtu.be/HVAFflj2PS0
https://dresa.org.au/materials/exploratory-data-analysis
This is the second of three modules in our exciting new machine learning workshop series by the Sydney Informatics Hub (SIH).
**Module 1**: [https://youtu.be/dMwHFhKWRRI](https://youtu.be/dMwHFhKWRRI)
**Module 3**: [https://github.com/Sydney-Informatics-Hub/Module3R](https://github.com/Sydney-Informatics-Hub/Module3R)
*The Sydney Informatics Hub is a Core Research Facility at The University of Sydney, enabling excellence in research* [https://sydney.edu.au/informatics-hub](https://sydney.edu.au/informatics-hub)
sih.training@sydney.edu.au
Zhang, Eden (orcid: 0000-0003-0294-3734)
Mori, Giorgia (orcid: 0000-0003-3469-5632)
Data analysis, training 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://ohdsi-australia.org/full_tutorial.pdf
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
Roger Ward
Nicole Pratt
Christine Hallinan
OMOP, Aortic Aneurysm, Fluoroquinolone antibiotics
