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Research Data Management
This guide contains resources for learning about best practices in research data management.
How will the data be collected and processed? (e.g. method of collection, naming convention, version control, etc.)
Describe data collection method, e.g. observational, experimental, simulation, derived/compiled.
Describe the methods and standards that you will adopt to ensure quality data. This may include processes such as calibration, repeat samples or measurements, standardised data capture, data entry validation, peer review of data or representation with controlled vocabularies.
Describe how the data will be organised in your research project e.g. naming conventions, version control, folder structures, any community data standards (if any) will be used.