Information in these sections of your data management plan may be minimal and general at first but should become more detailed as instruments and methods are specified and the workflow for data collection and processing is developed.
All primary data should be included in your planning. Data should be identified by type at least. Details of formats and quantities may need to be specified later, but early estimates of quantity can be useful, especially if the volume of data will be high and additional storage will be needed.
You do want to consider:
Poor planning may impact the quality of the research, so thinking about these aspects helps you to adhere to the Code of Good Research Practice laid out in the University's Ethics Governance.
Use the links below to explore practices that could help you to ensure data integrity in your project.