What is it about?

Different disciplines have different concepts of "text" and "data". We took a set of questionnaire responses and read them in various ways from the transcription processes of textual scholarship through to quantitative analysis of coded, themed content.

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Why is it important?

We demonstrate that multidisciplinarity can contribute perspectives that differ all the way down to the fundamentals of what counts as data or evidence, and of how data should be converted into information or knowledge. Our varying methods are each attuned to a different concept of evidence. Bringing them together points to potential for better research by understanding both where 'our' version of the data come from, and also what the other methods are that our re-representation of the data should serve.

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This page is a summary of: Seven Ways of Looking at a Data Set, Qualitative Inquiry, February 2018, SAGE Publications,
DOI: 10.1177/1077800417729847.
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