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Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (7): 57-62.doi: 10.13998/j.cnki.issn1002-1248.2020.07.20-0217

• Research paper • Previous Articles     Next Articles

Data Governance Research from the Perspective of Governance Framework

ZHOU Zhenguo   

  1. Service Bureau of the Ministry of agriculture and rural affairs, Beijing 100125
  • Received:2020-03-31 Online:2020-07-05 Published:2020-07-16

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Abstract: [Purpose / Significance] As the basis of improving data value, data governance is a research hotspot in the data age. The systematic review of the current research into data governance will help to promote the theoretical research and the practice of electronic information resource management. [Method / Process] Using the methods of literature analysis, the paper systematically analyzes the research progress of data governance from six dimensions: the goal, the subject, the object, the content, process and means of data governance. [Results / Conclusions] Among the core elements of data governance, researchers have the consistent understanding of the goal, the subject and the means of data governance, while their understanding of the key points of the content of data governance needs to be further unified. The research into the object of data governance needs to be specified. In the future research into data governance, researchers should further distinguish between data management and data governance, clarify the positioning of data governance, and place an emphasis on the focus and core content of data governance.

Key words: data governance, information resource, governance framework, review

CLC Number: 

  • G252.8
[1] 张宁, 袁勤俭. 数据治理研究述评[J]. 情报杂志, 2017(5): 129-134, 163.
[2] 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(11): 137-144.
[3] 孙嘉睿. 国内数据治理研究进展: 体系、 保障与实践[J]. 图书馆学研究, 2018(16): 2-8.
[4] NASCIO. Data governance partIII: frameworks-structure for organizing complexity[R/OL].[2019-08-14]. https://www.nascio.org/Portals/0/Publications/Documents/NASCIO-DataGovernancePTIII.pdf.
[5] ISO. Information technology-governance of it-governance of data part2: implications of ISO/IEC38505-1 for data management[S]. The standards policy and strategy committee, 2018(5).
[6] SEINERRS. The non-invasive data governance framework-the details[EB/OL]. [2019-08-17]. http://tdan.com/the-non-invasive-data-governance-framework-the-details/25031.
[7] NASCIO. Data governance partIII: frameworks-structure for organizing complexity[R/OL].[2019-08-14]. https://www.nascio.org/Portals/0/Publications/Documents/NASCIO-DataGovernancePTIII.pdf.
[8] The data governance institute. Goals and principles for data governance[EB/OL]. [2019-09-01]. http://www.datagovernance.com/adg_data_governance_goals/.
[9] PANIANZ. Some practical experience in data governance[J]. World academy of science, 2010: 939-946.
[10] 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(4): 65-72.
[11] 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.
[12] 鲍静, 张勇进. 政府部门数据治理: 一个亟需回应的基本问题[J]. 中国行政管理, 2017(4): 28-34.
[13] 严昕, 孙红蕾, 郑建明. 城镇信息化中的数据治理问题研究[J]. 情报科学, 2017(9): 30-35.
[14] NYU. Administrative data management policy[EB/OL].[2019-08-25].https://www.nyu.edu/about/policies-guidelines-compliance/policies-and-guidelines/administrative-data-management-policy.html.
[15] 明欣, 安小米, 宋刚. 智慧城市背景下的数据治理框架研究[J]. 电子政务, 2018(8): 27-37.
[16] 吴信东, 董丙冰, 堵新政, 等. 数据治理技术[J]. 软件学报, 2019(9): 2830-2856.
[17] 全国信息技术标准化技术委员会. 信息技术服务治理第5部分: 数据治理规范: GB/T34960.5-2018[S]. 北京: 中国标准出版社, 2018(6).
[18] 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(15): 200-205.
[19] 严昕, 孙红蕾, 郑建明. 城镇信息化中的数据治理问题研究[J]. 情报科学, 2017(9): 30-35.
[20] 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(8): 116-126.
[21] 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.
[22] FUX, WOJAKA, NEAGUD, et al. Data governance in predictive toxicology: A review[J]. Journal of cheminformatics, 2011(1): 1-16.
[23] 李青, 韩俊红. 数据治理:提升教育数据质量的方法和途径[J]. 中国远程教育, 2018(8):4 5-53.
[24] 吴善鹏, 李萍, 张志飞. 政务大数据环境下的数据治理框架设计[J]. 电子政务, 2019(2): 45-51.
[25] 黄璜. 美国联邦政府的数据治理: 政策与结构[J]. 中国行政管理, 2017(8): 47-56.
[26] 何哲. 国家数字治理的宏观架构[J]. 电子政务, 2019(1): 32-38.
[27] 李重照, 黄璜. 英国政府数据治理的政策与治理结构[J]. 电子政务, 2019(1): 20-31.
[28] AL-RUITHEM, BENKHELIFAE, HAMEEDK.Data governance taxonomy: Cloud versus non-cloud[J]. Sustainability, 2018(10): 95.
[29] 戚学祥. 区块链技术在政府数据治理中的应用: 优势、挑战与对策[J]. 北京理工大学学报(社会科学版), 2018(9): 105-111.
[30] 谭必勇, 陈艳. 加拿大联邦政府数据治理框架分析及其对我国的启示[J]. 电子政务, 2019(1): 11-19.
[31] 谭波. 做好金融大数据治理与服务—国家开发银行的大数据治理探索与实践[J]. 银行家, 2018(7): 65-67.
[32] 张宇杰, 安小米, 张国庆. 政府大数据治理的成熟度评测指标体系构建[J]. 情报资料工作, 2018(1): 28-32.
[33] 吴信东, 董丙冰, 堵新政, 等. 数据治理技术[J]. 软件学报, 2019(9): 2830-2856.
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