You can process, clean, organise, transform, analyse, interpret and visualise your research data using software or computational methods.
Preparing data for analysis can involve identifying and fixing errors or inconsistencies, removing duplicates, reformatting, combining, splitting and other cleaning and wrangling activities.
These tools will help prepare data:
Analyse data with these tools:
- Gale Digital Scholar Lab— analyse text from historical primary source collections
- ArcGIS—geographic information and mapping
- Leximancer—textual analysis and visualisation
- Ansys—engineering simulation and 3D design
- Nvivo—qualitative analysis of texts
- Ttext and data miningableau—analytics and business intelligence
- MATLAB —mathematics and technical computing
- STATA—statistics and data science.
Find these and other tools via the Software catalogue.
Analyse large datasets with the power of Griffith's High Performance Computing (HPC).
Learn from the Programming Historian how to use digital tools, techniques and workflows that help facilitate research in any discipline.
Find tools and tutorials on the GLAM Workbench, to work with data from galleries, libraries, archives, and museums.
Visualising data can help you communicate the meaning of your research.
Use these open source tools to visualise data:
- Voyant tools—reading and analysis for digital texts
- RawGraphs—create visualisations for complex data
- Gephi—network analysis and visualisations
- Cytoscape—complex network analysis and visualisations
- R or Python.
Work through this tutorial to start using MS Excel, Voyant tools, and RAWGraphs for visualising data.
Find a graph for your data, and the code to build it.
DEVELOP YOUR SKILLS
Attend a workshop that is targeted to support you through every stage of the research lifecycle.
Bring your laptop to Hacky Hour for hands-on support in analysis languages including R, Python, ArcGIS and more.
View training offered by Queensland Cyber Infrastructure Foundation.
Find information and support for all aspects of your copyright compliance obligations.
For help with your research technology, data science and technical infrastructure needs.
Office for research
For help with research grant funding opportunities, ethical and IP matters.
Attend a workshop targeted to support you throughout the research lifecycle.
Griffith University Research Methods Advisors
For advanced statistical advice.