2.2.1: Big Data
Collect and analyze data at an unprecedented depth and scale Other Information:
Big Data refers to dataset that cannot be stored, captured, managed and analysed by the mean of conventional database software.
Thereby Big Data is a subjective rather than a technical definition, because it does not involve a quantitative threshold
(e.g. in terms of terabytes), but instead a moving technological one. Keeping that in mind, the definition of Big Data in
many sectors ranges from a few terabytes7 to multiple petabytes8. The definition of Big Data does not merely involve the use
of very large data sets, but concerns also a computational turn in thought and research9. On the one hand, big data As stated
by Latour10 when the tool is changed, also the entire social theory going with it is different. In this view Big Data has
emerged a system of knowledge that is already changing the objects of knowledge itself, as it has the capability to inform
how we conceive human networks and community. Big Data creates a radical shift in how we think research itself. As argued
by Lazer et al.11, not only we are offered the possibility to collect and analyze data at an unprecedented depth and scale,
but also there is a change in the processes of research, the constitution of knowledge, the engagement with information and
the nature and the categorization of reality.
Indicator(s):
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