Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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.

Type

Journal article

Journal

International Journal of Social Research Methodology

Publisher

Taylor & Francis (Routledge)

Publication Date

06/06/2022

Addresses

Jack B Joyce, University of Oxford, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG

Keywords

Data Sharing, Conversation Analysis, Open Science, Qualitative Data