A Data Management Plan (DMP) is a document outlining how you intend to handle your data as you perform your research.
A DMP may ask you to consider things such as:
Managing the data over the whole project is very important for the success of your research and having a plan on how you'll manage that data is equally important. Having a good DMP will also help ensuring all of the elements of research data FAIRness are present - Findability, Accessibility, Interoperability and Reusability.
Curtin considers this data management plan process to be so important that completing a DMP is a required for anyone seeking to:
The DMP Tool linked below will help you create a DMP and update it when needed; it will also allow supervisors to review and check the plan and request the creation of R: drives for students.
The DMP Tool Help document gives assistance on common issues for researchers and supervisors using the tool.
The examples are fictitious DMPs in the faculties of Science and Engineering, Health Sciences, Business & Law, Humanities, Centre for Aboriginal Studies and the Vice-Chancellory, which may provide assistance.
Research funding bodies are concerned with obtaining the best outcomes for the research they fund. One of the ways they do this is by ensuring that researchers have a plan for their data throughout the whole research process.
An example of this is the Australian Research Council (ARC) - a key funding body of fundamental and applied research in Australia. Since 2020, the ARC has required funding applications for National Competitive Grants to have a completed data management plan before the project starts - this is to ensure that researchers are addressing the responsibilities as outlined in the Australian Code for the Responsible Conduct of Research 2018.
It's important to note that for most grants the ARC does not require you to submit a full, detailed DMP for assessment. However, you will need to have one in place before the start of the project and provide it to the ARC when requested.