You can process, clean, organise, transform, analyse, interpret and visualise your research data using software or computational methods.
Prepare data
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:
- OpenRefine for tabular data
- Microsoft Excel
- R or Python.
Computational thinking
Learn how to breakdown complex problems, develop possible solutions, in ways that a computer, human or both can understand.
Analyse 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
- Tableau—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.
Visualise data
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 use MS Excel, Voyant tools or RAWGraphs and image conversion software to create publication quality visualisations.
Publishers generally require charts, graphs and other images to be submitted as separate files with your article submission. Read each publisher’s specific image submission requirements to identify acceptable file formats, resolution size, captioning and other details.
Use these tools to convert images exported from MS Excel to publication-quality image files:
- Adobe PhotoShop via CreativeCloud (Windows – Staff download)
- Preview (Mac OS)
- Pixillion Image Converter (Windows – free download)
- PhotoPad (Windows - free download)
Follow these steps, for the listed software, to increase the resolution of your image.
Find a graph for your data, and the code to build it.
Gale Primary Sources
Analyse text from historical primary source collections using Gale's digital humanities tools.
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.
Training is offered by the Queensland Cyber Infrastructure Foundation.
Ask the library
We are here to help!
Find us in the libraries or contact us by phone or online.
Copyright matters
Find information and support for all aspects of your copyright compliance obligations.
eResearch services
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.
Workshops
Attend a workshop targeted to support you throughout the research lifecycle.
Griffith University Research Methods Advisors
For advanced statistical advice.