Welcome to Digital Research Skills Australasia (DReSA)

Browsing, discovering and organising digital research events and training resources, collected from Australasian providers.

Latest Content in DReSA

Qualitative Research: Doing Constructionist Data Analysis

Event

Qualitative researchers too often try to do the same as quantitative research but with smaller samples.

This interactive master-class offers early career researchers guidance on how to use the latest constructionist approaches which treat our data as instances of complex behaviours and hence...

Spatial Analysis in R

Event

Designed for the applied users of R who want to take their spatial analysis to a higher level, this masterclass is intended for participants who have some experience using R. You will learn to use R and Markdown to clean and manipulate spatial data, produce high quality visualisations (including...

Writing up a Qualitative PhD

Event

A practical, hands-on approach to the key writing challenges qualitative PhD researchers face at every stage of the journey, from crafting a coherent methodology chapter to writing up qualitative data in a way that does justice to your findings.

This masterclass is designed for qualitative PhD...

Focus Group Design and Moderation: Online

Event

This master-class runs over three half days and equips participants with practical techniques and a solid understanding of focus group methods for social research.

The course covers the theoretical foundations of conducting focus groups, including their value, limitations, and ethical...

Getting started with NVivo for Windows at UTS Online

Event

Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it’s easy to see why NVivo is becoming the tool of choice for many researchers.

NVivo allows researchers to...

My favourites

Package
R for reproducible science

Package

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