Should we share qualitative data? Epistemological and practical insights from conversation analysis

Jack Joyce, Tom Douglass, Bethan Benwell, Catrin Rhys, Ruth Parry, Richard Simmons, Adrian Kerrison

Research output: Contribution to journalArticlepeer-review

Abstract

Over the last thirty years, there has been substantial debate about the practical, ethical and epistemological issues uniquely associated with qualitative data sharing. In this paper we contribute to these debates by examining established data sharing practices in Conversation Analysis (CA). CA is an approach to the analysis of social interaction that relies on audio/video recordings of naturally occurring human interactions and moreover works at a level of detail that presents challenges for assumptions about participant anonymity. Nonetheless, data sharing occupies a central position in both the methodology and the wider academic culture of CA as a discipline and a community (ten Have, 2007). Despite this, CA has largely been ignored in qualitative data sharing debates and discussions. We argue that the methodological traditions of CA present a strong case for the value of qualitative data sharing (QDS) and offer open data sharing practices that might be usefully adopted in other qualitative approaches.
Original languageEnglish
JournalInternational Journal of Social Research Methodology
Early online date13 Jun 2022
DOIs
Publication statusE-pub ahead of print - 13 Jun 2022

Keywords

  • Data sharing
  • conversation analysis
  • Open Science
  • qualitative data

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