Data Engagement: A Critical Materialist Framework for Making Data in Qualitative Research

The language of “data collection” is perpetuated by disciplinary practices, as well as a pedagogical motivation to make data collection practices teachable to new generations of qualitative researchers. Interpretive and critical qualitative researchers generally bracket meta-theoretical discussion o...

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Bibliographic Details
Published in:Qualitative inquiry 2020-09, Vol.26 (7), p.817-826
Main Authors: Ellingson, Laura L., Sotirin, Patty
Format: Article
Language:English
Subjects:
Compassion
Data collection
Discipline
Epistemology
Feminism
Happiness
Intersectionality
Motivation
Pragmatism
Qualitative analysis
Qualitative research
Researchers
Sympathy
Teaching
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Summary:The language of “data collection” is perpetuated by disciplinary practices, as well as a pedagogical motivation to make data collection practices teachable to new generations of qualitative researchers. Interpretive and critical qualitative researchers generally bracket meta-theoretical discussion of what we do when we “collect” data, side-stepping epistemological complexities when reporting results. At the same time, we remain keenly aware that researchers bring data into being—we make it. We want to explore rather than skirt the epistemological and ontological issues involved in doing (and teaching) data collection. Yet, we differ from those postqualitative scholars who would abandon the concept of data. As a generative alternative, we promote data engagement. Drawing on intersectional feminist and other critical, materialist theorizing, we articulate a methodological practice that incorporates making, assembling, and becoming data, along with ethical commitments to pragmatism, compassion, and joy.
ISSN:1077-8004
1552-7565
DOI:10.1177/1077800419846639