• 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 (Current)
        • Marie Curie Cluster (Decommissioning)
        • 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
        • Compiling Programs (and using the optimization flags)
        • Creating a Conda Enviroment
        • Finding Installed Software
        • Frequently Asked Questions
        • Graphical connection HPC via Open On Demand
        • HPC Trouble Shooting
        • LLM’s on Ada Cluster
        • Machine and Deep Learning modules on Ada
        • PBS to Slurm Command tables (HPC Scheduler)
        • Running Python on Ada
        • Simple Unix Commands
        • Slurm Commands
        • Software Module Information
        • 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
        • Multiple Job Submission – Slurm
        • Parameter sweep multiple job – Slurm
        • R Sample Scripts – Slurm
        • Sample Slurm Submission Script
      • HPC Software
    • Research Software
    • Scholarly Communication
    • Survey Tools
    • Training
      • QCIF – Queensland Cyber Infrastructure Foundation
      • Teaching Lab Skills for Scientific Computing

eResearch

 

Research Data Management Plan

As per CQUniversity’s Research Data Management Policy and Procedures, data arising during research conducted at CQUniversity must have a master copy of the research data stored on CQUniversity’s dedicated research storage facility, as well as referenced in a Data Management Plan.

You will be allocated dedicated university storage access after the first time you hit “save and lodge” on your data management plan. Each data management plan you submit with receive its own data allocation.

Please allow a week after the data plan has been submitted to receive information on the storage share that has been created for the research project.

It should be noted that your Data Management Plan is a document that will change over time.  We don’t expect you to know all your data needs when you are just getting started, thus you can save (and submit) it as many times as you like.

  • RHD Candidates must use their Affiliate account login to access and create a Research Data Management Plan (RDMP).
  • When appropriate fields are completed, please click ‘Save and lodge’, This will trigger a storage allocation (if requested).  You will still be able to update and edit your Plan as required.

To create a data management plan, please go to datamanager.cqu.edu.au.

You can also view your current plans on DataManager RDMP. If you click on the edit icon, you can make changes to any of your plans you have access to.  Don’t forget to save your changes before exiting.

For support information about research data, including Data Management Plans, please visit the Research Data Management Library Guide.

You can search for “Research Data Management” at CQUniversity’s Policies and Procedures website to obtain the latest polices around the topic of research data management.

 

Support

eresearch@cqu.edu.au

tasac@cqu.edu.au OR 1300 666 620

Hacky Hour (3pm – 4pm every Tuesday)

High Performance Computing Teams site