Qualitative Data:Preparation and Use
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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


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Some characteristics of a ‘good’ research collection

  • Intellectual content

  • Extensive raw data created

  • Supporting documentation

  • Consent

  • Anonymisation

  • Listing supplied

  • Archivable


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Intellectual content

  • Builds on previous research

  • Addresses new issues

  • Innovative approach to discipline

  • Innovative approach to Qualitative methodology


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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


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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


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Consent in Qualitative Research

  • Obtained

  • Clear and coherent

  • Reflects needs and views of all

  • Supports archiving and re-use

  • Consent that works in practice


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Anonymisation of Qualitative Research

  • Confidentiality respected

  • Problems of anonymisation

    • Applied too weakly

    • Applied to strongly

    • Timing

    • Potential for distortion

  • User undertakings

  • Appropriate and sympathetic


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Listing Research

  • Contents

  • Key elements

    • General

    • Specific to project

  • Template approach

  • Point of entry


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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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