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Research Data Management @ Camosun

This site supports the culture of research at Camosun College. Paying specific attention to research data management, it describes the current research culture data stewardship practices and it provides a roadmap for promoting best practices for research

RDM overview

The following list highlights how data management influences different phases of a research project

  • Planning - Plan your research project and determine how you will collect and curate your data
  • Collecting - Conduct your research and gather your data while keeping notes about your decisions
  • Processing - Clean and validate your data, again while keeping notes about your decisions
  • Analyzing - Analyze your data and draw your conclusions. Keep notes about your methods and your decisions
  • Disseminating - Share your findings
  • Preserving - Store your data in a trusted repository
  • Re-using - Others may re-use your data for their own own analysis