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Stories Not Statistics: An Autoethnographical & Narrative Exploration of the Value of Public Libraries

Authors: Dodd, Sam;

Stories Not Statistics: An Autoethnographical & Narrative Exploration of the Value of Public Libraries

Abstract

This presentation will focus on two of the conference subthemes: research methods for untold stories, and the researcher and the untold story. Background: the current tools used to measure the value of public libraries are largely grounded in methods that focus on numbers, downloads, and foot traffic – metrics that do not fully capture and express the true social value and potential of public library services. This Masters dissertation study, focused on the United Kingdom public library service, used autoethnography, thematic content analysis, and narrative enquiry. There are also reflections on the researcher’s untold story, and their role within an autoethnographical context as both the researcher and the researched.

Keywords

Narration (Rhetoric), Public libraries, Information science, Values--Philosophy, public libraries, autoethnography, narrative enquiry, thematic content analysis, stories and protest, stories not statistics, qualitative research methods, untold stories in information science, Literature--Theory, etc., Research--Methodology, Library science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average