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

Rainey, Jay, Macfarlane, Siobhan, Puussaar, Aare, Vlachokyriakos, Vasilis, Burrows, Roger, Smeddinck, Jan David, Briggs, Pamela and Montague, Kyle (2022) Exploring the Role of Paradata in Digitally Supported Qualitative Co-Research. In: CHI '22: CHI Conference on Human Factors in Computing Systems. ACM, New York, US, pp. 1-16. ISBN 9781450391573

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Official URL: https://doi.org/10.1145/3491102.3502103


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.

Item Type: Book Section
Additional Information: 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. ACM CHI 2022, New Orleans, US, 30 Apr - 5 May 2022
Uncontrolled Keywords: Paradata, qualitative practices, ethnography, digital civics, co-research, research methods
Subjects: C800 Psychology
G400 Computer Science
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Faculties > Health and Life Sciences > Psychology
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Depositing User: Rachel Branson
Date Deposited: 29 Apr 2022 13:37
Last Modified: 08 Jun 2022 09:00
URI: http://nrl.northumbria.ac.uk/id/eprint/49004

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