Research data grows exponentially every day. This growth in data could be attributed to several factors, but an obvious one is the vast number of software, platforms and devices now available to generate or collect data including smart phones, wearable electronics and equipment with sensors. In terms of managing all this data, when and where do you start? 

As an Early Career Researcher or a Higher Research Candidate, developing your confidence and skill set around data management, analysis and processing is recommended to ensure the quality of your work and advancement of your research career. 

Every dataset tells a story, and we can show you how to extract every bit of valuable information from yours including: 

  • keeping your data safe and minimising the risk against loss  
  • communicating the story your data tells using visualisation tools  
  • processing your data using various programming languages or high-performance computation.  

So, let the Library help you develop the skills and confidence to manage your data. In partnership with eResearch Services and the Office for Research, we’re offering a range of seminars and workshops over the coming months. These seminars and workshops are delivered via Researcher Education and Development (RED) so register today on the RED website! 

Some of the seminars and workshops on offer are: 

Research Data Management series 

Managing your Research Data 

This seminar introduces you to Data Management practices and to data related resources and services available to Griffith researchers throughout the various stages of the research life cycle. 

Working with Sensitive Data 

This workshop uses practical and discussion-based training to inform researchers about responsibilities when working with sensitive data in health research. With a focus on the Five Safes framework and principles of sharing data, the workshop explains and demonstrates strategies to mitigate disclosure risks and promote data security and privacy protections. 

Reproducible Research: Building Business Continuity 

The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusion. Researchers genuinely want to make their research more reproducible but sometimes don’t know where to start. 

Research Data Tools series 

Introduction to Python – Software Carpentry workshop 

Interested in starting to code in Python but not sure where to start? Python is a versatile language great for data pre-processing, modelling, data science, building websites, Raspberry Pi and more. This workshop will also cover Bash and Git. This workshop is at an introductory level, for those who have never programmed before. No prior knowledge is needed 

Digital Tools for Research 

Become familiar with a wide range of digital tools available to assist you throughout your research journey. 

Moving to bigger compute Power: How to HPC 

The eResearch team will be running an introduction workshop to Griffith’s High-Performance Computer (HPC).  This workshop will introduce the fundamentals needed to use Griffith’s HPC, including the basic Bash and PBS scheduler syntax. By the end of these sessions, you will know how to load your data and scripts, and then execute them. 

REDCap at Griffith 

Learn how to build and deploy projects in REDCap (REsearch Data CAPture), one of Griffith’s supported research survey tools. This session is for anyone looking to gather qualitative data from participants but will be most valuable for researchers considering clinical and longitudinal trials.  

Data Visualisation Basics 

This is an online workshop to explore methods and tools to create publication quality visualisations of structured, tabular data. 

Data Storytelling 

An on-campus workshop to learn how to use the data, visuals and narrative to bring together the story of your research. 


You can find out more details and register for our workshops (future and current) at the RED website or by contacting the RED team at [email protected].