[Purpose/significance] At present, cross-sectoral government data sharing faces various challenges. Data is isolated between government departments, and data sharing is progressing slowly. The introduction of cross-sectoral data governance can help promote government information resource sharing, improve government service level and customer satisfaction. Although government cross-sectoral data governance practices have already existed, relevant practices request theoretical guidance.[Method/process] Firstly, this paper analyzed and defined the meaning of government data governance, discussed the existing data governance framework. And then it clarified the particularity of government data governance.[Result/conclusion] Based on the widely recognized data governance framework, and combined with the particularity of government data governance, this paper creatively proposes the Chinese government cross-sectoral data governance framework——CGCS data governance framework, and each part of the framework is illustrated with the actual situation in China. Finally, this paper gives an application example to clarify the usability of the CGCS data governance framework.
Zuo Meiyun
,
Wang Peipei
. Construction of Government Cross-Sectoral Data Governance Framework from the Perspective of Data Sharing[J]. Library and Information Service, 2020
, 64(2)
: 116
-123
.
DOI: 10.13266/j.issn.0252-3116.2020.02.013
[1] 王芳, 储君, 张琪敏, 等. 跨部门政府数据共享:问题、原因与对策[J]. 图书与情报, 2017(5):60-68.
[2] DONALDSON A, WALKER P. Information governance-a view from the NHS[J]. International journal of medical informatics, 2004, 73(3):281-284.
[3] FERNANDES L, O'CONNOR M. Data governance and data stewardship. critical issues in the move toward EHRs and HIE[J]. Journal of AHIMA, 2009, 80(5):36-39.
[4] THOMPSON N, RAVINDRAN R, NICOSIA S. Government data does not mean data governance:lessons learned from a public sector application audit[J]. Government information quarterly, 2015, 32(3):316-322.
[5] WEBER K, OTTO B, ÖSTERLE H. One size does not fit all-a contingency approach to data governance[J]. Journal of data & information quality, 2009, 1(1):1-27.
[6] ROSENBAUM S. Data governance and stewardship:designing data stewardship entities and advancing data access[J]. Health services research, 2010, 45(5):1442-1455.
[7] 梁木生. 略论"数字政府"运行的技术规制[J].中国行政管理, 2001(6):20-21.
[8] 张世明, 彭雪峰, 黄河笑. 开放大学数据治理框架研究[J]. 中国电化教育, 2018, 379(8):121-131.
[9] MOSLEY M, BRACKETT M, EARLEY S, et al. The DAMA guide to the data management body of knowledge (DAMA-DMBOK guide)[M]. New York:Technics publications, 2009:35-38.
[10] 安小米, 宋懿, 郭明军, 等. 政府大数据治理规则体系构建研究构想[J]. 图书情报工作, 2018, 62(9):14-20.
[11] The Data Governance Institute. The DGI data governance framework[EB/OL].[2018-09-20]. http://www.datagovernance.com/wpcontent/uploads/2014/11/dgi_framework.pdf.
[12] 包冬梅, 范颖捷, 李鸣. 高校图书馆数据治理及其框架[J]. 图书情报工作, 2015, 59(18):134-141.
[13] 郑大庆, 范颖捷, 潘蓉, 等. 大数据治理的概念与要素探析[J]. 科技管理研究, 2017, 37(15):200-205.
[14] 夏义堃. 试论数据开放环境下的政府数据治理:概念框架与主要问题[J]. 图书情报知识, 2018(1):95-104.
[15] 左美云. 信息系统开发与管理教程(第3版)[M]. 北京:清华大学出版社, 2013.
[16] 马力宏. 论政府管理中的条块关系[J]. 政治学研究, 1998(4):71-77.
[17] WILLEM A, BUELENS M. Knowledge sharing in public sector organizations:the effect of organizational characteristics on interdepartmental knowledge sharing[J]. Journal of public administration research and theory:J-PART, 2007, 17(4):581-606.
[18] 王芳, 储君, 张琪敏, 等. 跨部门政府数据共享:问题、原因与对策[J]. 图书与情报, 2017(5):60-68.
[19] GIL-GARCIA J, SAYOGO D. Government inter-organizational information sharing initiatives:understanding the main determinants of success[J]. Government information quarterly, 2016, 33(3):572-582.
[20] FAN J, ZHANG P, YEN D. G2G information sharing among government agencies[J]. Information & management, 2014, 51(1):120-128.
[21] 国务院. 国务院关于印发政务信息资源共享管理暂行办法的通知[EB/OL].[2019-03-09].http://www.gov.cn/zhengce/content/2016-09/19/content_5109486.htm.
[22] SUNIL S. The IBM data governance unified process:driving business value with IBM software and best practices[M]. Ketchum:MC Press Online, LLC., 2010:29-36.
[23] 马广惠, 安小米, 宋懿. 业务驱动的政府大数据平台数据治理[J]. 情报资料工作, 2018(1):21-27.
[24] 古发辉, 李雯, 赖路燕. 面向信息共享的信息分类编码标准体系与实施过程研究[J]. 情报杂志, 2008, 27(4):25-28.
[25] 张宁, 贾自艳. 数据仓库中ETL技术的研究[J]. 计算机工程与应用, 2002, 38(24):213-216.
[26] 刘桂锋, 钱锦琳, 卢章平. 国内外数据治理研究进展:内涵、要素、模型与框架[J]. 图书情报工作, 2017, 61(21):137-144.
[27] 任志锋, 陶立业. 论大数据背景下的政府"循数"治理[J]. 理论探索, 2014(6):82-86.
[28] 李大宇, 章昌平, 许鹿. 精准治理:中国场景下的政府治理范式转换[J]. 公共管理学报, 2017(1):1-13.
[29] 北京市统计局. 北京市2018年国民经济和社会发展统计公报[EB/OL].[2019-05-04]. http://tjj.beijing.gov.cn/bwtt/201903/t20190320_418995.html.
[30] 北京市人民政府. 北京市人民政府关于印发《北京市"十三五"时期老龄事业发展规划》的通知[EB/OL].[2019-05-06]. http://www.beijing.gov.cn/zhengce/wenjian/192/33/50/438650/141491/index.html.
