Should reproducibility be the aim for open qualitative research?

Hear from a range of researchers talking about reproducibility.

Reproducibility has been touted among quantitative researchers as a necessary step to make studies rigorous. To determine reproducibility, whether the same analyses of the same data produce the same results, the raw data and code must be accessible to other researchers. Qualitative researchers have also begun to consider making their data open too. However, where the analyses of these data do not involve quantification and statistical analysis, it is difficult to see how such analysis processes could be reproducible.

Furthermore, for researchers in fields where cultural knowledge plays a key role in the analysis of qualitative data, openness of such data may invite misrepresentation by re-use of the data by researchers unfamiliar with the cultural and social context in which it was produced. This event asks whether reproducibility should be the aim for open qualitative data, and if not, why should researchers make their qualitative data open and what are the other methods used to establish rigour and integrity in research?

Chair

Dr Matteo Galizzi, Associate Professor of Behavioural Science, Department of Psychological and Behavioural Science, LSE

Speakers

Dr Matthew Hanchard, Research Fellow, School of Sociological Studies, Politics and International Relations, University of Sheffield

Dr Madeleine Pownall, Associate Professor, School of Psychology, University of Leeds

Dr Annayah Prosser, Assistant Professor, Centre for Business, Organisations and Society (CBOS), University of Bath

Dr Sandy Schumann, Lecturer in Security and Crime Science, Dept of Security and Crime Science, University College London

Kirsty Wallis, Head of Research Liaison, Office for Open Science and Scholarship; and PhD Student, University College London

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