Data Wrangling

Before effective data analysis comes the data wrangling stage: cleaning, organising, formatting, and documenting so that visualisation and computational techniques can be applied and produce additional insights.

Clean, well-organised data is a benefit no matter what research methodology is used. Qualitative and quantitative datasets and everything in between, are more valuable for future re-use and citation if they are documented, consistently formatted, and reproducible.

There are many opportunities for researchers to increase data wrangling capabilities, from self-paced to facilitated group learning.

Self-paced online learning
Facilitated group learning
Library books and resources

If you need further assistance, forms are available in WesternNow for both staff researchers and HDR students for research data management advice.