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”

How Can We Make Sense of Qualitative Data?

By Alexandre Enkerli

How Can We Make Sense of Qualitative Data?

Slides to accompany Alex Enkerli’s workshop on qualitative data and public engagement for policy making at the Canadian Food Inspection Agency on March 11, 2020.

  • 1,204

More from Alexandre Enkerli