Dealing with Big Data
Tobias Blanke, Andrew Prescott

TL;DR
This chapter discusses how humanities and social sciences can adapt traditional research methods to effectively incorporate big data, emphasizing methodological rigor and discipline-specific approaches.
Contribution
It introduces a framework for integrating big data into humanities and social sciences while respecting traditional disciplinary values.
Findings
Encourages closer attention to methodological issues with big data
Proposes discipline-grounded approaches to big data research
Highlights the importance of enhancing existing methods
Abstract
This book chapter attempts to counter anxieties in the humanities and social science about the role of big data in research by focusing on approaches which, by being firmly grounded in the traditional values of disciplines, enhance existing methods to produce fruitful research. Big data poses many methodological challenges, but these pressures should prompt scholars to pay much closer attention to methodological issues than they have in the past.
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Taxonomy
TopicsComputational and Text Analysis Methods · Big Data Technologies and Applications
