Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Digital tools for research

Find information on digital tools to analyse and visualise data and text.

Introduction to statistical analysis

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?

A free statistical service is available to all higher degree by research students enrolled at RMIT University and is supported by the School of Graduate Research. For details and to apply, visit RMIT’s Statistical Consulting Service page. To access this service you have to also complete an introductory statistics course or MATH2256 - Quantitative Research Techniques prior to applying.

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

Tools for statistical analysis

SPSS

Resources

SAS

Resources

MATLAB

Resources

R Studio

Resources

Excel

Resources

NVivo

For further information on NVivo, see this dedicated page.

Computing facilities and cloud based platforms

RMIT staff and HDR candidates can also apply for access to use high performance computing facilities and can also access cloud services for performing data analysis. The following information has been obtained from the RMIT Researcher Portal.

High Performance Computing

More information on the RMIT High Performance Computing (HPC) facilities is available in this article.

SWAN

The SWAN cloud based platform is also an option for researchers to perform data analysis 

Service for Web-based ANalysis (SWAN) is a service for running data analysis in CloudStor. It is built upon Jupyter Notebooks, which allows you to perform data analyses using only a web browser. 

The Library Researcher Spotlight series also has a video available in Microsoft Stream that explains more about SWAN in CloudStor. Only RMIT staff and students can view this video. To gain access make sure to be logged in to RMIT and then return to this page to view the video.

This video can only be viewed by RMIT University staff and students. To view this video first login to RMIT then return to this page to view.

NeCTAR

NeCTAR is a Cloud Computing Platform that provides flexible, scalable computing power to all Australian researchers. See further information on NeCTAR in the Research Data page of the RMIT Researcher Portal, under Analysing research data.

Further help and resources

The following information has also been provided by the statistical consulting service. For further details visit RMIT’s Statistical Consulting Service page.

There are other statistics courses within the university that current RMIT staff and research students can audit to help develop a foundation in statistics. With the course coordinator’s permission, you can access the course learning materials and attend classes. However, you will not be formally enrolled and will therefore not receive a formal grade. These courses run at undergraduate and postgraduate levels. Please contact the course coordinator for further information. The statistical consulting service recommends the following enabling courses: