Register training material
2 materials found

Contributors: Dr Kyle Hemming  or Christine Hallinan 


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
Principles Aligned Institutionally-Contextualised (PAI-C) RDM Training

This GitHub repository contains resources for an institution to contextualise a principles-based RDM training with its institution's research data management policies, processes and systems.

The adoption of PAI-C across institutions will contribute to a common baseline understanding of RDM...

Keywords: PAI-C, Training, Data Management

Principles Aligned Institutionally-Contextualised (PAI-C) RDM Training https://dresa.org.au/materials/principles-aligned-institutionally-contextualised-pai-c-rdm-training This GitHub repository contains resources for an institution to contextualise a principles-based RDM training with its institution's research data management policies, processes and systems. The adoption of PAI-C across institutions will contribute to a common baseline understanding of RDM across institutions, which in turn will facilitate cross institutional management of data (e.g. when researchers move between institutions, and collaborate across institutions). Dr Adrian W. Chew (w.l.chew@unsw.edu.au) Dr Anesh Nair Dr Kyle Hemming Iftikhar Hayat Joanna Dziedzic Janice Chan Kaitlyn Houston Linlin Zhao Caitlin Savage Jessica Suna Dr Emilia Decker Sharron Stapleton PAI-C, Training, Data Management