Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
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Volume 41 Issue 11
Nov.  2023
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Article Contents
LIU Guangqi, XU Dongjian, WU Kunfeng, WANG Chujun, FENG Zhiri, SUN Jiamin. DESIGN OF DATA GOVERNANCE FRAMEWORK FOR WATER ENTERPRISES[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 19-24. doi: 10.13205/j.hjgc.202311004
Citation: LIU Guangqi, XU Dongjian, WU Kunfeng, WANG Chujun, FENG Zhiri, SUN Jiamin. DESIGN OF DATA GOVERNANCE FRAMEWORK FOR WATER ENTERPRISES[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 19-24. doi: 10.13205/j.hjgc.202311004

DESIGN OF DATA GOVERNANCE FRAMEWORK FOR WATER ENTERPRISES

doi: 10.13205/j.hjgc.202311004
  • Received Date: 2023-09-05
    Available Online: 2023-12-25
  • With the frequent introduction of favorable policies to promote the digital transformation of water companies and information technology improvement by leaps and bounds, water companies are faced with a large number of data governance requirements. How to conduct effective data governance becomes the focal point of their digital transformation. However, the water industry has relatively traditional and dispersed features, and data governance knowledge is relatively abstract. Therefore, there are certain challenges in the practical implementation of data governance in water companies. Based on the design perspective of the water companies' governance frameworks, the paper discussed nine aspects, including core business process combing and modeling, business models, data models, data asset catalogs, reporting systems, data standard systems, IT governance guarantee systems, data security systems, and data application systems. A set of feasible and executable frameworks were formed. Through the design of a data governance framework, the implementation efficiency and success rate of data governance projects of water companies can be improved, and powerful support can be provided for the high-quality development of water companies.
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  • [1]
    DAMA International.DAMA数据管理知识体系指南[M].DAMA中国分会翻译组, 译.北京:机械工业出版社, 2020.
    [2]
    中国信息通信研究院, 大数据技术标准推进委员会.数据资产管理实践白皮书6.0[R/OL].2023.
    [3]
    祝守宇, 蔡春久.数据治理:工业企业数字化转型之道[M].北京:电子工业出版社, 2020.
    [4]
    祝守宇, 蔡春久.数据标准化:企业数据治理的基石[M].北京:电子工业出版社, 2022.
    [5]
    季久翠, 周文雯, 许冬件, 等.水务行业企业级信息化标准体系建设:以重庆水务为例[J].给水排水, 2020, 46(5):138-142.
    [6]
    王爱杰, 许冬件, 钱志敏, 等.我国智慧水务发展现状及趋势[J].环境工程, 2023, 41(9):46-53.
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