A thorough knowledge of Research Data Management and sharing requirements is essential for the modern academic and HDR student.
Planning at the start of a new research project, or thesis, will save time and resources. The Bond University online Research Data Management Plan available below will assist you with your research data planning.
What is a data management plan?
A data management plan (DMP) is a living document that describes what data will be created, what policies will apply to the data, who will own and have access to the data, what data management practices will be used, what facilities and equipment will be required, and who will be responsible for each of these activities. Aspects of a DMP may change over time and subsequent versions will reflect current information to keep all stakeholders up to date.
Researcher responsibilities are outlined in the Australian Code for the Responsible Conduct of Research, 2018. Compliance with the Code is a requirement for ARC and NHMRC funding and is likely to be mandated by other funding bodies, and government and research institutions.
What does a data management plan contain? Generally a data management plan will contain details about how the following aspects will be managed:
HDR students are required to commence and regularly update their DMP throughout their PhD journey. Students may like to consult the Research Data Planning Checklist for HDR Students below for further information on each aspect of RDM planning before beginning.
Follow this link to create a new Bond University DMP: Start a new Research Data Management Plan
Once the online DMP has been saved you will receive an email with a link to your plan and subsequent versions as it is updated it over time.
Effective management of data provides researchers with many benefits, including:
This Piers Video Production documentary, Digital Curation Centre: Managing Research Data, offers an insight into the importance of providing access to research data and the risks of not managing data effectively.
Useful resources for developing a data management plan: