Research data management

​This training covers the basics of research data management.

Icon: learning outcomesBy the end of this training, learners should be able to:

  • Understand the research data lifecycle
  • Explain why it is important to manage research data
  • Be able to identify and implement data management procedures relevant for each stage of the research data lifecycle
  • Understand the challenges of data management in health sciences
  • Be able to prepare a data management plan
  • Know where and how to publish/share research data

Icon: training outlineTraining outline

  • Research data lifecycle
  • Research data  in institutional and funder policies [note to trainers: add local examples]
  • Research data organization, documentation and metadata.
  • Research data storage, back-up and long-term preservation
  • Legal and ethical requirements
  • Research data sharing and re-use
  • Research data management responsibilities
  • Data management plan (DMP)
  • DMP tools
  • Publishing/sharing research data

 

Resources for facilitators and learners

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Icon: videoVideos, webinars, online tutorials

 

 

 

 

 

 

 

 

 

 

 

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icon: collectionsCollections of resources