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Qualitative data preservation and sharing in the social sciences

On whose philosophical terms

Bibliographic Data

ID11228637
AuthorsNatasha S Mauthner (corresponding author), Odette Parry
Year2009
Volume44
Issue3
Pages291-307
Publication date2009-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAustralian Journal of Social Issues (JOURNAL)
Journal identifiersISSN: 0157-6321 • E-ISSN: 1839-4655
PublisherWiley (PUBLISHER • GB)
DOI10.1002/j.1839-4655.2009.tb00147.x
OpenAlexW1516476096
LanguageEN
Citations received21
References cited28

Over the past decade, an academic debate has developed surrounding qualitative data preservation and sharing in the social sciences, and has been characterised as one between supporters and opponents of this movement. We reframe the debate by suggesting that so‐called ‘opponents’ are not resistant to the principle of data preservation and sharing, but ambivalent about how this principle is being put into practice . Specifically, qualitative researchers are uneasy about the foundational assumptions underpinning current data preservation and sharing policies and practices. Efforts to address these concerns argue that the inclusion of the ‘contexts’ of data generation, preservation and reuse will adequately resolve the epistemological concerns held by the qualitative research community. However, these ‘solutions’ reproduce foundational assumptions by treating ‘context’ as ontologically separate from, rather than constitutive of, data. The future of qualitative data preservation and sharing in the social sciences is dependent on shedding its implicit unitary foundational model of qualitative research, and embracing ‘epistemic pluralism’ and the diversity of philosophical perspectives representing the qualitative researcher community

Ambivalence · Cognitive reframing · Context (archaeology · Epistemology · Normative · Pluralism (philosophy · Political science · Qualitative property · Qualitative research · Social science · Sociology · Unitary state · Colorectal Cancer Screening and Detection · Computer Science · Data Analysis and Archiving · Global Cancer Incidence and Screening · Law · Psychology · Social Psychology

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Unique citing works21
Citations per year1,5
Citation span2012 - 2025 (14)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 19

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