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.
|Journal||International Journal of Social Research Methodology|
|Early online date||13 Jun 2022|
|Publication status||E-pub ahead of print - 13 Jun 2022|
- Data sharing
- Open Science
- conversation analysis
- qualitative data