Statistical analysis – Digital tools for research – All guides at RMIT University

Data capture and analysis are core activities of the research data lifecycle. A number of tools are available to assist RMIT staff and students in the collection and transformation of data for their research projects.

See a selection of tools and applications listed below. This list is not exhaustive but represents a sample of tools commonly used by researchers.

To choose an appropriate software tool for analysing your data there are a number of criteria that need to be considered:

• What do your supervisor and other researchers in your school or research area think about the appropriateness of the tool?
• What functionality do you need to analyse your data and produce the output that you require?
• Does the amount, complexity and type of data you have to analyse match the capacity of the software tool?

RMIT staff and students wanting further information on managing and storing data may also consult the library’s Research Data Management guide.