Small data, data infrastructures and big data (Working Paper 1)


Kitchin, Rob and Lauriault, Tracey P. (2014) Small data, data infrastructures and big data (Working Paper 1). Working Paper. Programmable City, Social Science Research Network.

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Official URL: http://dx.doi.org/10.2139/ssrn.2376148


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Abstract

The production of academic knowledge has progressed for the past few centuries using small data studies characterized by sampled data generated to answer specific questions. It is a strategy that has been remarkably successful, enabling the sciences, social sciences and humanities to advance in leaps and bounds. This approach is presently being challenged by the development of big data. Small data studies will, however, continue to be important in the future because of their utility in answering targeted queries. Nevertheless, small data are being made more big data-like through the development of new data infrastructures that pool, scale and link small data in order to create larger datasets, encourage sharing and re-use, and open them up to combination with big data and analysis using big data analytics. This paper examines the logic and value of small data studies, their relationship to emerging big data and data science, and the implications of scaling small data into data infrastructures, with a focus on spatial data examples. The final section provides a framework for conceptualizing and making sense of data and data infrastructures.

Item Type: Monograph (Working Paper)
Keywords: big data; small data; data infrastructures; data politics; spatial data infrastructures; cyber-infrastructures; epistemology;
Academic Unit: Faculty of Social Sciences > Geography
Faculty of Social Sciences > Research Institutes > National Institute for Regional and Spatial analysis, NIRSA
Item ID: 5684
Depositing User: Tracey Lauriault
Date Deposited: 19 Jan 2015 09:54
Publisher: Programmable City
Funders: European Research Council
URI:

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