• eResearch
    • Collaborative Technologies
      • ARDC (Australian Research Data Commons)
      • ARDC Nectar Research Cloud
      • Australian Access Federation
      • QRIScloud
      • Video Collaboration
    • Data Management
      • Research Data Management Plans
    • Data Services
      • Australian and International Data Portals
      • CQUni Research Data Storage Options
      • CQUniversity Research Data Storage
      • GEOSCIENCE DATA PORTALS
    • eResearch and Security: MFA and CyberSafety
      • Encrypting Data on Portable Devices
    • High Performance Computing
      • The History of CQU’s HPC Facilities
        • Ada Lovelace Cluster (New HPC)
        • Marie Curie Cluster (Current HPC)
        • Einstein Cluster (Decommissioned)
        • Isaac Newton HPC Facility (Decommissioned)
      • HPC User Guides and FAQs
        • Basics of working on the HPC
        • Getting started on CQUniversity’s Ada Lovelace HPC System
        • Graphical Connection to the HPC System
        • Compiling Programs (and using the optimization flags)
        • Connecting to the Marie Curie Cluster
        • Finding Installed Software
        • Frequently Asked Questions
        • Graphical connection HPC via Open On Demand
        • HPC Job Scheduler
        • HPC Trouble Shooting
        • Machine and Deep Learning
        • PBS Commands
        • PBS to Slurm Command tables (HPC Scheduler)
        • Running LLM’s on the HPC system
        • Running Python on HPC
        • Simple Unix Commands
        • Software Module Information
        • Submitting an Interactive Job
        • Transferring Files to the HPC System
        • Transferring Files to the HPC System (Ada)
        • Using Abaqus
        • Using ANSYS (Fluent) on the HPC System
        • Using APSIM
        • Using HPC Scheduler on Ada Lovelace Cluster
        • Using MATLAB
        • Using R
        • Virtualisation and Containers
      • HPC Community
      • HPC Related Links
      • HPC Sample Code Scripts
        • MATLAB Sample Scripts
        • Multiple Job Submission
        • Multiple Run Job Submission
        • PBS Job Array Submission
        • R Sample Scripts
        • Sample PBS Submission Script
        • Sample Slurm Submission Script
      • HPC Software
        • Mathematica Sample Scripts
    • Research Software
    • Scholarly Communication
    • Survey Tools
    • Training
      • QCIF – Queensland Cyber Infrastructure Foundation
      • Teaching Lab Skills for Scientific Computing

eResearch

What is eResearch?

eResearch is the term applied to the use of advanced information and communication technologies (ICT’s) to the practice of research.  Key areas include: collaboration, computation (including high performance computing), visualisation, research data management and tools.

Why is eResearch Important?

Through the use of eResearch technologies, modern researchers are becoming more innovative and thus developing solutions to research problems that were considered impossible less than 10 years ago.

The application of eResearch methodologies and technologies is widely considered applicable to a diverse range of research domains.  As an example, it is now well accepted that the three pillars of scientific discovery are theory, experiment and simulation. There is no doubt that leading-edge simulation is necessary for modern, multidisciplinary science and one needs high scale eResearch facilities to support the resulting high-end simulations.  Moreover, computational simulation avoids in some cases the need for possibly very costly, controversial, dangerous, prohibitive or impossible experimentation.

A lot of attention is now also being given to the management of research data at the national level by research grant funding organizations (eg. NHMRC).

The management of large data sets and using eResearch methodologies (such as data mining) provides the foundation for research disciplines such as climate system science.

Using eResearch Tools to Improve Research Outcomes

eResearch Tools allows researchers to increase their research output and research quality through:

  • Improved Collaboration – Sharing Data; Virtual Meetings/Presentations
  • Utilising Local, State and National IT Infrastructure – Scientific Instruments; Data Services; Web Services, Portals and Systems
  • Accessing Data Repositories and Collections – Artistic; Astronomy; Biological; Climate; Genome; Historical; Oceanographic
  • Utilising Advanced Computing Facilities – Perform greater Computer Simulations; Conduct larger Searches
  • Managing and reusing research data – Metadata systems, data storage and preservation

Links of interest

  • Australian eResearch Organisations (AeRO)
  • Australian National Data Service (ANDS)
  • Queensland Cyber Infrastructure Foundation (QCIF)
  • Australian Government – Research Infrastructure Website
  • National Map Open Data Initiative

Support

eresearch@cqu.edu.au

tasac@cqu.edu.au OR 1300 666 620

Hacky Hour (3pm – 4pm every Tuesday)

High Performance Computing Teams site