Exploring the Role of Paradata in Digitally Supported Qualitative Co-Research

Jay Rainey, Siobhan Macfarlane, Aare Puussaar, Roger J Burrows

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)

Abstract

Academics and community organisations are increasingly adopting co-research practices where participants contribute to qualitative data collection, analysis, and dissemination. These qualitative practices can often lack transparency that can present a problem for stakeholders (such as funding agencies) who seek evidence of the rigour and accountability in these decision-making processes. When qualitative research is done digitally, paradata is available as interaction logs that reveal the underlying processes, such as the time spent engaging with different segments of an interview. In practice, paradata is seldom used to examine the decisions associated with undertaking qualitative research. This paper explores the role of paradata arising from a four-month engagement with a community-led charity that used a digital platform to support their qualitative co-research project. Through observations of platform use and reflective post-deployment interviews, our findings highlight examples of paradata generated through digital tools in qualitative research, e.g., listening coverage, engagement rate, thematic maps and data discards. From this, we contribute a conceptualisation of paradata and discuss its role in qualitative research to improve process transparency, enhance data sharing, and to create feedback loops with research participants.
Original languageEnglish
Title of host publicationCHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
ISBN (Electronic)9781450391573
DOIs
Publication statusPublished - 2022

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Name
ISSN (Print)2159-6468
ISSN (Electronic)2159-6468

Bibliographical note

Funding Information:
This research was funded by EPSRC’s center for doctoral training (CDT) in Digital Civics (EP/L016176/1). Data supporting this work is available at: https://doi.org/10.25405/data.ncl.14067209.

Publisher Copyright:
© 2022 Owner/Author.

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