Research Data Management (RDM) is the practice of managing, organising and preserving all of the information used to produce research, from the initial planning and searching through to post-publication. Navigate through the blue tabs above to learn more. This data comprises of a range of records such as notes, spreadsheets, surveys, emails, published material and grey literature.
An important part of managing your research data is planning for how you will store your data during the research process, and after your project is completed. Appropriate storage of research data will ensure that it can be accessed into the future -- this is important for data to be re-used and/or shared with other researchers, and for results to be verified.
Careful consideration needs to be given to both short- and long-term storage solutions, including:
Depending on the body responsible for funding the research, there may be legal requirements to store research data for a defined period of time. The type of research conducted may require the data to be kept indefinitely. Note that overseas funding bodies will have their own specific requirements that may differ from Australian funding bodies.
Secure, cloud-based storage solutions should be considered for both short-term and long-term storage. The following are examples of Australian-based services:
A researcher is responsible for appropriate use and storage of research data and should ensure the following relating to the security of research data:
Remember to always check and refer to Monash Health's Prompt policies and procedures as part of the overall process when conducting this research.
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