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Calls Technologies ‘Big Data’ for the Modern Social Sciences and Humanities
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Calls Technologies ‘Big Data’ for the Modern Social Sciences and Humanities
Annotation
PII
S004287440001353-3-
DOI
10.31857/S004287440001353-3
Publication type
Article
Status
Published
Authors
Elena Zhuravleva 
Occupation: Associate professor
Affiliation: Russian Academy of National Economy and Public Administration under the President of the Russian Federation
Address: Russian Federation, Vologda
Edition
Issue 9
Pages
50-59
Abstract

Scientific interest in the emergence of new techniques for working with intensive data aka «Big Data» technologies generates a wide range of new research practices in almost every modern scientific discipline. The purpose of the article is to analyze the changes associated with the development of similar research practices in the social sciences and humanities. In the article presented two interrelated contexts for considering the «Big Data» technologies: industrial and scientific. And also various kinds of definitions of "Big Data" technologies are proposed: with a quantitative focus (dimensions, properties, volumes, structure or composition of data); with an emphasis on the process and cognitive-oriented. The definition of the «Big Data» technologies in the perspectives of studying the social movement, the behavior of people and the public nature of events is highlighted. In this group of definitions the important role is assigned to the derivative of «Big Data» concept of «datafication». The datafication is presented as a modern technological macrotrend on transformation of social actions into online quantitative data, interconnected with such modern technological macrotrends as digitalization, sensorization and softwarization.

The main changes were found in the form of calls «Big Data» technologies for modern social sciences and humanities at the cognitive, epistemological, methodological, institutional and ethical level of knowing. Special attention is paid to such manifestations dataism in scientific activities as exploratory science, discovery science, hypothesis-free science, data driver science, datacentric science, empiricist epistemology and science Big Data.

Keywords
technology «Big Data», datafication, sensorization, softwarization, dataism, exploratory science, discovery science, hypothesis-free science, data driver science, datacentric science, empiricist epistemology, science Big Data
Received
19.10.2018
Date of publication
23.10.2018
Number of purchasers
10
Views
836
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S004287440001353-3-1 Дата внесения правок в статью - 04.10.2018
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