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Research Data Management at OCAD University

This guide will provide information on research data management (RDM) including policy, planning, security, description, and sharing based on best practices.

Introduction

Due to evolving funding agency requirements, and in recognition of best practices, research data management has taken on an increased role worldwide. Research data management - or RDM - is defined by Research Data Canada as the storage, access and preservation of data produced from a given investigation. RDM should be taken into consideration throughout the research lifecycle. Practices related to RDM include:

  • file naming conventions
  • quality control and quality assurance
  • storage and access
  • security and privacy
  • archiving and preservation
  • sharing and re-use

Research Services, IT Services, and the Library wish to support researchers in maintaining good practice with respect to research data so that they can both satisfy funding agency requirements and maximize the impact of their research. This guide will provide information and resources for RDM covering all stages of the research cycle.