Visual brokerage: communicating data and research through visualisation
Visual brokerage: communicating data and research through visualisation
Researchers increasingly use visualisation to make sense of their data and communicate findings more widely. But these are not necessarily straightforward processes. Theories of knowledge brokerage show how sociopolitical contexts and intermediary organisations that translate research for public audiences shape how users engage with evidence. Applying these ideas to data visualisation, I argue that several kinds of brokers (such as data collectors, designers and intermediaries) link researchers and audiences, contributing to the ways that people engage with visualisations. To do this, I draw on qualitative focus groups that elicited non-academic viewers’ reactions to visualisations of data about UK migration. The results reveal two important features of engagement: perceptions of brokers’ credibility and feelings of surprise arising from visualisations’ content and design. I conclude by arguing that researchers, knowledge brokers and the public produce – as well as operate within – a complex visualisation space characterised by mutual, bi-directional connections.
906-922
Allen, William L.
f0d4731a-81c1-4886-b11c-74dfa412bb97
November 2018
Allen, William L.
f0d4731a-81c1-4886-b11c-74dfa412bb97
Allen, William L.
(2018)
Visual brokerage: communicating data and research through visualisation.
Public Understanding of Science, 27 (8), .
(doi:10.1177/0963662518756853).
Abstract
Researchers increasingly use visualisation to make sense of their data and communicate findings more widely. But these are not necessarily straightforward processes. Theories of knowledge brokerage show how sociopolitical contexts and intermediary organisations that translate research for public audiences shape how users engage with evidence. Applying these ideas to data visualisation, I argue that several kinds of brokers (such as data collectors, designers and intermediaries) link researchers and audiences, contributing to the ways that people engage with visualisations. To do this, I draw on qualitative focus groups that elicited non-academic viewers’ reactions to visualisations of data about UK migration. The results reveal two important features of engagement: perceptions of brokers’ credibility and feelings of surprise arising from visualisations’ content and design. I conclude by arguing that researchers, knowledge brokers and the public produce – as well as operate within – a complex visualisation space characterised by mutual, bi-directional connections.
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e-pub ahead of print date: 5 February 2018
Published date: November 2018
Identifiers
Local EPrints ID: 499739
URI: http://eprints.soton.ac.uk/id/eprint/499739
ISSN: 0963-6625
PURE UUID: 3c0f5854-487a-4775-ae8e-aaa23cf2bbc9
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Date deposited: 01 Apr 2025 17:00
Last modified: 22 Aug 2025 02:43
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Author:
William L. Allen
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