Good practice in Research Data Management (RDM) is a crucial part of maximising research investment and leveraging your research efforts. RDM includes but is not limited to data retention, accessibility, storage, and security. By adopting good RDM practices you ensure:
RDM is a recommendation of the Australian Code for Responsible Conduct of Research as well as being required by many funding bodies. Many funding bodies require RDM to be specifically addressed in the applications.
To ensure CSU researchers follow good RDM practice CSU has established a RDM policy which requires all active research projects (whether funded externally or not) to have a RDM Plan.
All researchers and HDR students will be expected to undertake RDM training and assessment (in the form of an ELMO module). A simple straightforward template has been created to help researchers develop a RDM plan. RDM plans will be stored centrally and the RDM plan template also contains advice on data storage options as well as where to get help. Introductory training will also be available for those students and researchers who are unfamiliar with the concept of RDM.
A Research data management (RDM) plan provides an opportunity to think about and plan how your research data will be managed throughout the life of the research and what will happen to the data after the research is completed.
Good research data management practices include:
When you should complete the plan:
Contact email@example.com or your HDR supervisor if you have any questions about this.