1. 中国人民大学信息资源管理学院,北京 100872
2. 数据工程与知识工程教育部重点实验,北京 100872
3. 中国人民大学信息学院,北京 100872
[ "杨孟辉(1969- ),男,博士,中国人民大学信息资源管理学院教授、博士生导师,主要研究方向为情报学、信息计量。主持国家自然科学基金面上项目1项、重点项目子课题1项,参与“863”计划重点项目1项、面上项目1项。近年来在《通信学报》《电子学报》《电子与信息学报》《清华大学学报》《北京邮电大学学报》《高技术通讯》等国内重要期刊,以及国际重要期刊和国际会议上发表论文50余篇。曾获中国电子学会科学技术奖一等奖等奖项" ]
[ "杜小勇(1963- ),男,博士,中国人民大学信息学院教授、学术委员会主任、博士生导师,中国人民大学校长助理,数据工程与知识工程教育部重点实验室主任。兼任教育部科学技术委员会信息学部委员,国家重点研发计划“云计算与大数据”专家组成员,中国计算机学会理事、教育工作委员会主任、大数据专家委员会主任,《大数据》副主编、全国信息技术标准化技术委员会大数据标准工作组副组长等。先后获得国家科技进步奖二等奖、北京市科技进步奖一等奖、教育部科技进步奖一等奖、中国计算机学会科学技术奖一等奖等奖项" ]
网络首发:2020-03,
纸质出版:2020-03-15
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杨孟辉, 杜小勇. 政府大数据治理:政府管理的新形态[J]. 大数据, 2020,6(2):2020010-1.
Menghui YANG, Xiaoyong DU. Big data governance in governments:a new form of the government administration[J]. Big Data Research, 2020, 6(2): 2020010-1.
杨孟辉, 杜小勇. 政府大数据治理:政府管理的新形态[J]. 大数据, 2020,6(2):2020010-1. DOI: 10.11959/j.issn.2096-0271.2020010.
Menghui YANG, Xiaoyong DU. Big data governance in governments:a new form of the government administration[J]. Big Data Research, 2020, 6(2): 2020010-1. DOI: 10.11959/j.issn.2096-0271.2020010.
政府大数据治理成为政府关心的一个重要议题。采用文献调研等方法,对当前主要的国家政府大数据实践进行了分析,认为政府大数据应用仍处于早期阶段。对政府大数据治理的概念进行了溯源,认为政府大数据治理一方面继承了公共和行政管理领域的治理理论和行政管理手段,另一方面也借鉴了公司治理中IT治理、数据治理和大数据治理的框架和方法。对政府大数据治理的概念、特征进行了阐释,提出了政府大数据治理的新挑战、新目标和新机制,最后指出大数据治理是政府管理的新形态。
Exploring big data governance in governments becomes an important issue for government sectors.By using literature survey
this study made a comprehensive analysis of big data practice in governments.Results shown that the big data application projects in governments were still at the early stage.The concept of big data governance in governments was traced.The concept of big data governance in governments inherited the governance theories and administrative management means in the public management and the administrative management areas
and also borrowed the frameworks and approaches
from IT governance
data governance
and big data governance in corporate governance.The concept and characteristics of big data governance in governments were explained.New challenges
new goals and new mechanisms of the big data governance in governments were proposed.It was pointed out that big data governance in governments is a new form of government management.
SUN Z H . Managerial perspectives on intelligent big data analytics [M ] . Pennsylvania : Information Science ReferencePress , 2019 .
Information Resources Management Association . Big data:concepts,methodologies,tools and applications [M ] . Pennsylvania : Information Science ReferencePress , 2016 .
DE VRUEH R L A , DE VLIEGER J S B , CROMMELIN D J A . Public-private partnerships as drivers of innovation in healthcare [J ] . Frontiers in Medicine , 2019 , 114 ( 6 ): 20 - 35 .
European Commission . Digital agenda for Europe:engagement for growth and jobs [M ] . Luxembourg : Publications Office of the European UnionPress , 2014 .
BROEKEMA P C , BOONSTRA A J , VICTORIA C C , et al . Dome:towards the ASTRON & IBM center for exascale technology [C ] // The 2012 Workshop on HighPerformance Computing for Astronomy Data,June 18,2012,Delft,The Netherlands . New York:ACM Press , 2012 : 1 - 4 .
CAROLE S . Horizon scanning:gathering research evidence to inform decision making [M ] . Ottawa : The Conference Board of CanadaPress , 2008 : 1 - 8 .
AGGARWAL A . Managing big data integration in the public sector [M ] . PA : Information Science ReferencePress , 2016 : 280 - 320 .
MASARU K , . Challenge for Info-plosion [C ] // The 10th International Conference on Discovery Science,October 1-7,2007,Sendai,Japan . Berlin:Springer , 2007 : 1 - 8 .
李国杰 . 对大数据的再认识 [J ] . 大数据 , 2015 , 1 ( 1 ): 8 - 16 .
LI G J . Further understanding of big data [J ] . Big Data Research , 2015 , 1 ( 1 ): 8 - 16 .
KIM G H , TRIMI S , CHUNG J H . Bigdata applications in the government sector [J ] . Communications of the ACM , 2014 , 57 ( 3 ): 78 - 85 .
SANTISO C . Good governance and aid effectiveness:the world bank and conditionality [J ] . The Georgetown Public Policy Review , 2001 , 7 ( 1 ): 1 - 22 .
PANIAN Z . Some practical experiences in data governance [J ] . World Academy of Science Engineering & Technology , 2010 : 939 - 946 .
AL-BADI A , TARHINI A , KHAN A . Exploring big data governance frameworks [C ] // The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks,November 5,2018,Leuven,Belgium . Leiden:Elsevier , 2018 : 271 - 277 .
韩兆柱 , 翟文康 . 西方公共治理前沿理论述评 [J ] . 甘肃行政学院学报 , 2016 ( 4 ): 23 - 39 .
HAN Z Z , ZHAI W K . A review of western public governance theory [J ] . Journal of Gansu Administration Institute , 2016 ( 4 ): 23 - 39 .
MARGETTS H , DUNLEAVY P . The second wave of digital-era governance:a quasi-paradigm for government on the Web [J ] . Philosophical Transactions of the Royal Society A:Mathematical,Physical and Engineering Sciences , 2013 , 371 ( 1987 ): 2012 - 0382 .
孙宝文 , 王天梅 . IT治理模式及影响因素:一个基于中国电子政务实施的多案例研究 [J ] . 中国软科学 , 2012 ( 6 ): 156 - 171 .
SUN B W , WANG T M . IT governance patterns and their influencing factors:a multiple cases study on E-government implementation in China [J ] . China Soft Science , 2012 ( 6 ): 156 - 171 .
THOMPSON N , RAVINDRAN R , SALVATORE N . Government data does not mean data governance:lessons learned from a public sector application audit [J ] . Government Information Quarterly , 2015 , 32 ( 3 ): 316 - 322 .
夏义堃 . 政府数据治理的国际经验与启示 [J ] . 信息资源管理学报 , 2018 ( 3 ): 64 - 72 ,101.
XIA Y K . International experiences and implications on government data governance [J ] . Journal of Information Resources Management , 2018 ( 3 ): 64 - 72 ,101.
宋懿 , 安小米 , 马广惠 . 美英澳政府大数据治理能力研究——基于大数据政策的内容分析 [J ] . 情报资料工作 , 2018 ( 1 ): 12 - 20 .
SONG Y , AN X M , MA G H . A study on big data governance capability of the United States,UK and Australia:based on the content analysis of big data policy [J ] . Information and Documentation Services , 2018 ( 1 ): 12 - 20 .
范灵俊 , 洪学海 , 黄晁 , 等 . 政府大数据治理的挑战及对策 [J ] . 大数据 , 2016 , 2 ( 3 ): 27 - 38 .
FAN L J , HONG X H , HUANG C , et al . Challenge and countermeasure of governing government big data [J ] . Big Data Research , 2016 , 2 ( 3 ): 27 - 38 .
杨孟辉 . 开放政府数据:概念,实践和评价 [M ] . 北京 : 清华大学出版社 , 2017 .
YANG M H . Open government data:concept,practice and review [M ] . Beijing : Tsinghua PressPress , 2017 .
翟云 . 中国大数据治理模式创新及其发展路径研究 [J ] . 电子政务 , 2018 ( 8 ): 12 - 26 .
ZHAI Y . Research on innovation and development path of big data governance model in China [J ] . E-Government , 2018 ( 8 ): 12 - 26 .
郑大庆 , 黄丽华 , 张成洪 , 等 . 大数据治理的概念及其参考架构 [J ] . 研究与发展管理 , 2017 , 29 ( 4 ): 65 - 72 .
ZHEGN D Q , HUANG L H , ZHANG C H , et al . Concept and reference architecture of big data governance [J ] . R & D Management , 2017 , 29 ( 4 ): 65 - 72 .
范佳佳 . 政府数据资产可持续运营评估理论模型研究 [J ] . 上海商学院学报 , 2018 , 19 ( 3 ): 21 - 27 .
FAN J J . Research on the theoretical model for the sustainable operation assessment of government data assets [J ] . Journal of Shanghai Business School , 2018 , 19 ( 3 ): 21 - 27 .
孟天广 , 张小劲 . 大数据驱动与政府治理能力提升——理论框架与模式创新 [J ] . 北京航空航天大学学报(社会科学版) , 2018 , 31 ( 1 ): 18 - 25 .
MEGN T G , ZHANG X J . Big data driven and government capacity building:theoretical framework and innovative models [J ] . Journal of Beijing University of Aeronautics and Astronautics(Social Sciences Edition) , 2018 , 31 ( 1 ): 18 - 25 .
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