How Can We Make Sense of Qualitative Data?

Some Insight through Public Engagement

Canadian Food Inspection Agency, March 11, 2020

Alexandre Enkerli

Gathering

  • Language Check
  • Alex intro
  • Public Engagement (PE)
  • PE data?
  • Connected?

Experiences

  • Impact on Policymaking
  • PE process
  • Specific goals
  • Broad goals
  • Methods?
  • Privacy & ethics?
  • Data types?
  • Data work?
    • Processing
    • Skills
    • Internally
    • Impact

Considerations

  • Overwhelming
  • Collaboration
  • Open Data
    • Consultations dataset
    • National Security dataset

Feet Wet

  • ESDC questionnaire on FWA
  • open.canada.ca search for “flexible”
  • Preprocessing
  • Questions with qual responses
  • Pieces of a puzzle

Prompts

  • Themes from overall set?
  • Making sense of data you have here?
  • Followup questions
  • Improving the dataset

Together

  • Themes & topics
  • Suggestions for further work
  • Improving data quality

Hope & Hype

  • Text mining
  • AI
  • Suggestion: Topic Modelling to ”encode bias”