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Goldsmiths - University of London

Socialising Big Data: From concept to practice

Ruppert, Evelyn; Harvey, Penny; Lury, Cellia; Mackenzie, Adrian; McNally, Ruth; Baker, Stephanie Alice; Kallianos, Yannis and Lewis, Camilla. 2015. Socialising Big Data: From concept to practice. CRESC, The University of Manchester and The Open University. [Other]

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Abstract or Description

The working paper is a report on an ESRC-funded project, Socialising Big Data, that sought to address problematic conceptions of Big Data in popular discourse such as the ‘data deluge’ and the tendency to reduce the term to definitions such as the oft-cited ‘3 Vs’. Instead, building on how social scientists have conceived of things, methods and data as having social and cultural lives, the project sought to identify the normative, political and technical imperatives and choices that come to shape Big Data at various moments in its social lives. Recognising that Big Data involves distributed practices across a range of fields, the project experimented with collaboratories as a method for bringing together and engaging with practitioners across three different domains – genomics, national statistics and waste management. In this way it explored how relations between data are also simultaneously relations between people and that it is through such relations that a shared literacy and social framework for Big Data can be forged.

Item Type: Other

Departments, Centres and Research Units:

Sociology > Centre for Study of Invention and Social Process (CSISP) [2003-2015]

Date:

February 2015

Item ID:

11614

Date Deposited:

26 May 2015 15:04

Last Modified:

16 Dec 2016 17:18

URI: http://research.gold.ac.uk/id/eprint/11614

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