Discover how the RDA is building the technical and social bridges for data sharing and open science, and the opportunities at IDW2025!

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

In this workshop, you will learn how to manipulate, explore and get insights...

Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics?

Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research...

The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of...

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data.

We teach using Jupyter notebooks, which allow program code,...

This record includes training materials associated with the Australian BioCommons webinar ‘Our journey incorporating AI into our cancer computational research’. This webinar is part of the webinar series 'AI in the life sciences: exploring possibilities, inspiring change' and took place on 11...

This documentation is a supplementary resource for researchers submitting a formal request for access to a dataset listed on the Health Data Australia (HDA) platform. This was developed as part of a work package for Health Studies Australian National Data Asset.

A collection of training events and materials that relate to using R to provide training and background on helping me make my research reproducible.