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Published in: Annals of Data Science 4/2017

14-11-2017

How China Deals with Big Data

Authors: Yong Shi, Zhiguang Shan, Jianping Li, Yufei Fang

Published in: Annals of Data Science | Issue 4/2017

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Abstract

On September 5, 2015, the State Council of Chinese Government, China’s cabinet formally announced its Action Framework for Promoting Big Data (www.​gov.​cn, 2015). This is the milestone for China to catch up the global wave of big data. Since 2012 big data became a hot issue for scientific communities as well as the governments of many countries (Lazer et al. in Science 343:1203–1205, 2014; Einav et al. in Science 345:715, 2014; Cate in Science 346:818, 2014; Khoury and Ioannidis in Science 346:1054–1055, 2014). At the 2013 G8 Summit, the leaders of Canada, France, Germany, Italy, Japan, Russia, U.S.A. and United Kingdom agreed on an “open government plan” (www.​gov.​uk/​government/​publications/​open-data-charter/​g8-open-data-charter-and-technical-annex, 2013). China’s framework, however, mainly emphasizes the integration of all trans-departmental data and establishes a number of government-driven national big data platforms so as to provide big data services to research, public and enterprises. The framework not only demonstrates a strong commitment of the Chinese government on big data, but also covers a wide range of governmental branches, enterprises and institutions far more than that of other countries. In addition, the framework shows an interpretation of big data that differs from other countries. If its objective is achieved, China would become a strong “big data country”.

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Literature
2.
go back to reference Lazer D, Kennedy R, King G, Vespignani A (2014) The parable of Google flu: traps in big data analysis. Science 343:1203–1205CrossRef Lazer D, Kennedy R, King G, Vespignani A (2014) The parable of Google flu: traps in big data analysis. Science 343:1203–1205CrossRef
4.
go back to reference Cate FH (2014) The big data debate. Science 346(6211):818 Cate FH (2014) The big data debate. Science 346(6211):818
5.
go back to reference Khoury MJ, Ioannidis JPA (2014) Big data meets public health. Science 346:1054–1055CrossRef Khoury MJ, Ioannidis JPA (2014) Big data meets public health. Science 346:1054–1055CrossRef
7.
go back to reference XSSC (2013) Report on the 462nd session: data science and big data. In: Xingshan Science Conference, Chinese Academy of Sciences, Beijing, May 29–31 XSSC (2013) Report on the 462nd session: data science and big data. In: Xingshan Science Conference, Chinese Academy of Sciences, Beijing, May 29–31
8.
go back to reference Shi Y (2014) The bridge. U Natl Acad Eng 44:6–11 Shi Y (2014) The bridge. U Natl Acad Eng 44:6–11
10.
go back to reference Sun YT, Cao C (2014) Demystifying central government R&D spending in China. Science 345:1006–1008CrossRef Sun YT, Cao C (2014) Demystifying central government R&D spending in China. Science 345:1006–1008CrossRef
11.
go back to reference (2014) Report on China’s big data technology and industrial development. China Machine Press, Beijing. (in Chinese) (2014) Report on China’s big data technology and industrial development. China Machine Press, Beijing. (in Chinese)
12.
go back to reference Li JP, Zhang YJ, Wu DS, Zhang W (2014) The bridge. US Natl Acad Eng 44:20–26 Li JP, Zhang YJ, Wu DS, Zhang W (2014) The bridge. US Natl Acad Eng 44:20–26
14.
go back to reference Credit Public Sentiment, Credit reference center of people’s bank of China 64(7) (2010). (in Chinese) Credit Public Sentiment, Credit reference center of people’s bank of China 64(7) (2010). (in Chinese)
Metadata
Title
How China Deals with Big Data
Authors
Yong Shi
Zhiguang Shan
Jianping Li
Yufei Fang
Publication date
14-11-2017
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 4/2017
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-017-0129-9

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