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Research Data Management

Research Data Management

Data collection: volume, type and formats of data, data standards and methodologies, fodler structures and versioning

Considerations for your DMP

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:

  • How will the data be collected and validated?
  • How to manage where multiple persons are involved in collections, managing or processing the data.
  • Cost of any additional resources required, such as equipment, software, services, facilities, bibliographic resources, etc.

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.

To help you communicate procedures and protocols across your project team, you may wish to consider using a Data Management Handbook within the project team.

Use the links below to explore practices that could help you to ensure data integrity in your project.

Standards and Methodology Volume, Type and File Formats
File and Folder Organisation Versioning