大数据背景下的治理现代化：何以可能与何以可为

doi:10.11959/j.issn.2096-0271.2016015

Abstract

Abstract:

The big data is the result of information explosion of the post-industrial society and the rapid development of network technology. The era of big data is profoundly changing the way of life of modern society and governance concept. The three big data attribute of the context of public administration were analyzed. Four capabilities of modernization of governance offered by big data: reshaping in the system and ability of governance, reshaping in the form of government, the innovation in the public service system and the innovation in the process of policy, were discussed. The methods of modernization of governance under the background of big data were proposed, such as: setting up the concepts of data, improving data quality and protecting the data privacy, narrowing the digital divide, and improving the supporting environment.

Key words: big data, modernization of governance, concept, reform and change

CLC Number:

C916

Qiangqiang LIU,Qianxin SHI. Modernization of governance in the background of big data: why and how can it promote[J]. Big Data Research, 2016, 2(2): 17-28.

Figures/Tables 3

References 15

[1]	刘叶婷, 唐斯斯 . 大数据对政府治理的影响及挑战[J]. 电子政务, 2014(6): 20-29.
	LIU Y T , TANG S S . Big data on the impact of government governance and challenges[J]. E-Government, 2014(6): 20-29.
[2]	张勇进, 王璟璇 . 主要发达国家大数据政策比较研究[J]. 中国行政管理, 2014(12): 113-117.
	ZHANG Y J , WANG J X . Comparative studies on big data policy of main developed countries[J]. Chinese Public Administration, 2014(14): 113-117.
[3]	孙柏瑛 . 当代地方治理——面向21世纪的挑战[M]. 北京: 中国人民大学出版社, 2004.
	SUN B Y . Contemporary Local Governance: A Challenge for Twenty-First Century[M]. Beijing: Chinese Renmin University Press, 2004.
[4]	俞可平 . 现代化和全球化双重变奏下的中国文化发展逻辑[J]. 学术月刊, 2006(4): 14-24.
	YU K P . The logic of Chinese cultural development under variation of modernization and globalization[J]. Academic Monthly, 2006(4): 14-24.
[5]	DECKER P T . Presidential address: false choices, policy framing, and the promise of “big data”[J]. ournal of Policy Analysis and Management, 2014,33(2): 252-262.
[6]	梁芷铭 . 大数据治理：国家治理能力现代化的应有之义[J]. 吉首大学学报（社会科学版）, 2015(3): 34-41.
	LIANG Z M . Mega data governance: an essential approach to the modernzation of state governance[J]. Journal of Jishou University(Social Sciences Edition), 2015(3): 34-41.
[7]	郭建锦, 郭建平 . 大数据背景下的国家治理能力建设研究[J]. 中国行政管理, 2015(6): 73-76.
	GUO J J , GUO J P . Study on the construction of national governance capacity under the background of big data[J]. Chinese Public Administration, 2015(6): 73-76.
[8]	张陶新, 杨英, 喻理. . 智慧城市的理论与实践研究[J]. 湖南工业大学学报（社会科学版）, 2012(2): 1-7.
	ZHANG T X , YANG Y , YU L . Analysis of theory and practice for wisdom city[J]. Journal of Hunan University of Technology(Social Sciences Edition), 2012(2): 1-7.
[9]	郁建兴, 吴玉霞. . 公共服务供给机制创新——一个新的分析框架[J]. 学术月刊, 2009(12): 12-18.
	YU J X , WU Y X . Innovation of public service supply mechanism: a new analysis framework[J]. Academic Monthly, 2009(12): 12-18.
[10]	郑瑞强, 曹国庆. . 基于大数据思维的精准扶贫机制研究[J]. 贵州社会科学, 2015(8): 163-168.
	ZHENG R Q , CAO G Q . Study on the precise mechanism of poverty reduction based on big data thinking[J]. Guizhou Social Sciences, 2015(8): 163-168.
[11]	张敏 . 拉斯威尔的路线：政策科学传统及其历史演进评述[J]. 政治学研究, 2010(3): 113-125.
	ZHANG M . Laswell’s line: tradition and its historical review on the evolution of policy science[J]. CASS Journal of Political Science, 2010(3): 113-125.
[12]	保罗·A·萨巴蒂尔 . 政策过程理论[M]. 彭宗超, 译. 北京: 三联书店, 2004(4): 8.
	SABATIER P A . Theories of Policy Process[M].Translated by PENG Z C. Beijing: Sanlian Bookstore, 2004(4): 8.
[13]	严强 . 公共政策分析的实质、特点和内容[J]. 南京社会科学, 2010(1): 76-82.
	YAN Q . On the essence, characteristics and content of the public policy analysis[J]. Nanjing Social Science, 2010(1): 76-82.
[14]	邱仁宗, 黄雯, 翟晓梅 . 大数据技术的伦理问题[J]. 社会与科学, 2014(1): 36-48.
	QIU R Z , HUANG W , ZHAI X M . Ethical issues in big data technology[J]. Science and Social, 2014(1): 36-48.
[15]	维克托·迈尔-舍恩伯格, 肯尼思·库克耶 . 大数据时代——生活、工作与思维的大变革[M].盛杨燕周涛，译. 盛杨燕, 周涛，译杭州: 浙江人民出版社, 2013: 36.
	MAYER-SCH?NBERGER V , CUKIER K . Big Data: A Revolution that Will Transform How We Life,Work and Think[M]. Translated by SHENG Y Y, ZHOU T. Hangzhou: Zhejiang People’s Publishing Hacse, 2013: 36.

Metrics

Recommended 0

No Suggested Reading articles found!

Modernization of governance in the background of big data: why and how can it promote

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 3

References 15

Related Articles 15

Metrics

Recommended 0

[1]	Haihong QIAN, Maoyi WANG, Yun XIONG. Digital transformation in higher education:a systematic review [J]. Big Data Research, 2023, 9(3): 56-70.
[2]	Hong MEI, Xiaoyong DU, Hai JIN, Xueqi CHENG, Yunpeng CHAI, Xuanhua SHI, Xiaolong JIN, Yasha WANG, Chi LIU. Big data technologies forward-looking [J]. Big Data Research, 2023, 9(1): 1-20.
[3]	Yang SHEN, Menglong YU. Metaverse and big data: data insight and value connection in spatio-temporal intelligence [J]. Big Data Research, 2023, 9(1): 103-110.
[4]	Tongzheheng ZHENG, Bin LI, Minxuan FENG, Bolin CHANG, Dongbo WANG. Explore the structuration of historical books:the construction and quantitative analysis of digital humanities database of the Biographies of the Shiji [J]. Big Data Research, 2022, 8(6): 40-55.
[5]	Jing CHEN. Humanities big data and its application in the field of digital humanities [J]. Big Data Research, 2022, 8(6): 3-14.
[6]	Yuchu LUO, Hao WU, Yuhan GUO, Shaocong TAN, Can LIU, Ruike JIANG, Xiaoru YUAN. Visualization in digital humanities [J]. Big Data Research, 2022, 8(6): 74-93.
[7]	Wenlong LI, Yuan YUAN, Xiaopeng AN. Modus operandi of big data governance: some preliminary observations [J]. Big Data Research, 2022, 8(4): 34-45.
[8]	Qifeng TANG, Zhiqing SHAO, Yazhen YE. Authenticating and licensing architecture of data rights in data trade [J]. Big Data Research, 2022, 8(3): 40-53.
[9]	Chenhuizi WANG, Wei CAI. Digital economics in metaverse: state-of-the-art, characteristics, and vision [J]. Big Data Research, 2022, 8(3): 140-150.
[10]	Mei YANG, Wei LI, Siyuan QIAO, Wei LIU. Research on calculation method of China’s big data industry output value [J]. Big Data Research, 2022, 8(3): 151-160.
[11]	Deren LI, Guo ZHANG, Yonghua JIANG, Xin SHEN, Weiling LIU. Opportunities and challenges of geo-spatial information science from the perspective of big data [J]. Big Data Research, 2022, 8(2): 3-14.
[12]	Xiaolan QIU, Yuxin HU, Songtao SHANGGUAN, Kun FU. Remote sensing satellite big data high-recision integration processing technology [J]. Big Data Research, 2022, 8(2): 15-27.
[13]	Weiquan LIU, Cheng WANG, Yu ZANG, Qian HU, Shangshu YU, Baiqi LAI. A survey on information extraction technology based on remote sensing big data [J]. Big Data Research, 2022, 8(2): 28-57.
[14]	Jianqiang LIU, Xiaomin YE, Youguo LAN. Remote sensing big data from Chinese ocean satellites and its application service [J]. Big Data Research, 2022, 8(2): 75-88.
[15]	Hequn YANG, Xiaofeng WANG, Yanqing GAO, Yiwen LU, Bingxin MA, Xinyao WANG. Analysis of satellite big data requirements in numerical weather prediction [J]. Big Data Research, 2022, 8(2): 89-102.