Research data management plan Logo
  • Project Information

  • Instructions:

    • The following questions all relate to the management of your research data
    • This plan can be added to or amended as your project evolves.

     

    Training:

    Researchers can access RDM training at: ELMO RDM training
    HDR students can access RDM training at: Brightspace RDM training

     

    Approval and peer review process:

    HDR students: Forward the emailed plan to your supervisor, who must sign it using the PDF signing feature. Submit your data management plan with your Research Proposal.

     

    Get help!

    Help is available at any stage of research.  Ask your experienced colleagues, your supervisor, or contact libresearch@csu.edu.au

     

  • 1. Personal Information

  • 2. Project Information

  • Data Collection and Storage

  • 3. Data Types

  • 4. Data Storage During Active Research

  • 5. Storage Capacity

  • 6. Remote Access

  • 7. Collaborator Access

  • 8. Data classification


  • 9. Export Controls

  • Storage at the end of the project

  • Storage and Data Retention

    Upon project completion, your research data must be organised into collections. Consider the following aspects of data sharing:

    ·         Your data sharing plan should align with any commitments made during the Ethics Committee review process and must be reflected in participant information statements.

    You have several options for making your data accessible:

    ·         Collections can be catalogued in the CSU Research Outputs (CRO) repository

    ·         For shareable data, you can create listings on Research Data Australia to increase visibility and accessibility

    When developing your data management plan, carefully evaluate which portions of your data are suitable for sharing with the broader research community. After project completion, where possible, make your data available to other researchers, as this promotes research transparency and enables future scientific inquiry.

  • 10. Retention Period


  • 11. Data Sharing Plan


  • 12. Post-Employment Data Management

  • 13. Data Discovery

  • For HDR students, your supervisor needs to sign the form. The plan will be emailed to you in PDF form, forward it to your supervisor. The supervisor can sign using the 'signing' feature on the PDF. The signed form should be included in the proposal.

  • Version 2. April 2025

  • Should be Empty: