[1]张国宝,卞艺杰.一种面向闭环的数据治理平台与方法设计[J].计算机技术与发展,2019,29(08):156-160.[doi:10. 3969 / j. issn. 1673-629X. 2019. 08. 030]
　ZHANG Guo-bao,BIAN Yi-jie.A Closed-loop Data Management Platform and Method Design[J].,2019,29(08):156-160.[doi:10. 3969 / j. issn. 1673-629X. 2019. 08. 030]
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一种面向闭环的数据治理平台与方法设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年08期
页码:
156-160
栏目:
应用开发研究
出版日期:
2019-08-10

文章信息/Info

Title:
A Closed-loop Data Management Platform and Method Design
文章编号:
1673-629X(2019)08-0156-05
作者:
张国宝; 卞艺杰
河海大学 网信中心,江苏 南京 210098
Author(s):
ZHANG Guo-bao; BIAN Yi-jie
Network and Information Center,Hohai University,Nanjing 210098,China
关键词:
数据质量维度; 数据治理; PDCA; 闭环
Keywords:
data quality dimension; data governance; PDCA; closed loop
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 08. 030
摘要:
数据孤岛现象在高校普遍存在,数据治理的目的是解决高校存在的数据源分散异构、数据质量不高等问题。 文中对数据治理的方法论和数据平台的功能设计进行研究探讨。 研究了数据质量、数据质量维度和数据质量治理相关概念,结合 PDCA 系统循环理论,提出了闭环数据治理体系的原则和治理的四个维度,即技术维度、业务维度、演化维度、管理维度。 设计了符合高校遗留系统环境下的闭环数据治理体系架构和数据归集、对标、提质、共享、服务的治理活动过程,并且给出了数据治理平台的功能设计,在主数据管理、数据质量检测等方面实现可视化管理。 通过设计的数据治理平台的实际案例的应用,以及相关关键技术的分析,结果说明平台在数据治理方面是有效的。
Abstract:
Isolated data island is common in colleges and universities. The purpose of data governance is to solve the issue of scattered and heterogeneous data sources and low data quality in colleges and universities. The methodology of data governance and the functional design of data platform are studied. The concepts of data quality,data quality dimension and thoughts on data quality governance are studied.Combined with PDCA system cycle theory,the principles of closed-loop data governance system and four dimensions of governance are proposed,namely technical dimension,business dimension,evolution dimension and management dimension.The closed-loop data governance architecture and data governance activities including data collection and management, benchmarking,quality improvement,sharing and service in the legacy system environment of universities are designed,and the functional design of the data governance platform is given. Through the application of the actual case and the introduction of data quality detection methods,the demonstration shows the designed platform is effective in data governance.
更新日期/Last Update: 2019-08-10