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Qualitative Data:Preparation and Use John Southall Senior Qualitative Data & Support Services Officer Qualidata

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Qualitative Data:Preparation and Use John Southall Senior Qualitative Data & Support Services Officer Qualidata . Some characteristics of a ‘good’ research collection. Intellectual content Extensive raw data created Supporting documentation Consent Anonymisation Listing supplied

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Qualitative Data:Preparation and UseJohn SouthallSenior Qualitative Data & Support Services OfficerQualidata

some characteristics of a good research collection
Some characteristics of a ‘good’ research collection
  • Intellectual content
  • Extensive raw data created
  • Supporting documentation
  • Consent
  • Anonymisation
  • Listing supplied
  • Archivable
intellectual content
Intellectual content
  • Builds on previous research
  • Addresses new issues
  • Innovative approach to discipline
  • Innovative approach to Qualitative methodology
extensive raw data
Extensive Raw data
  • Types of research data assembled;
    • In-depth interviews
    • Focus groups
    • Field notes / participant observation
    • Case study notes
    • Images
    • Sound recordings
  • Range of material
  • Transcription quality
supporting documentation
Supporting Documentation
  • Examples;
    • Funding application
    • Description of methodology
    • Coding schemes / thema
    • Technical details of equipment
    • Interview schedules
    • End of award report
  • Adds insight
  • Aid to understanding and secondary usage
consent in qualitative research
Consent in Qualitative Research
  • Obtained
  • Clear and coherent
  • Reflects needs and views of all
  • Supports archiving and re-use
  • Consent that works in practice
anonymisation of qualitative research
Anonymisation of Qualitative Research
  • Confidentiality respected
  • Problems of anonymisation
    • Applied too weakly
    • Applied to strongly
    • Timing
    • Potential for distortion
  • User undertakings
  • Appropriate and sympathetic
listing research
Listing Research
  • Contents
  • Key elements
    • General
    • Specific to project
  • Template approach
  • Point of entry
archivable research
Archivable Research
  • Electronic Dissemination
  • Suitable formats for use and preservation
  • Problems of preparation
    • Cleaning up research
    • Repairing minor errors
    • User expectations
  • Meeting users needs
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