信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2022, Vol. 48 ›› Issue (2): 16-21.doi: 10.12267/j.issn.2096-5931.2022.2.003

专题:数据治理 上一篇    下一篇

基于智能化数据探索的数据质量管理方法

The method of data quality management based on intelligent data exploration

练海荣, 孙晓宁, 张未来   

  1. 苏州龙石信息科技有限公司,苏州 215000
  • 收稿日期:2021-12-10 出版日期:2022-02-15 发布日期:2022-03-14
  • 作者简介:
    练海荣,苏州龙石信息科技有限公司总经理,主要从事数据质量管理标准、体系的研究工作|孙晓宁,苏州龙石信息科技有限公司行业咨询总监,主要从事数据资产管理、数据质量相关产品的规划和研究等工作|张未来,苏州龙石信息科技有限公司技术总监,长期从事大数据和人工智能相关算法和技术的研究工作

LIAN Hairong, SUN Xiaoning, ZHANG Weilai   

  1. Suzhou Longshi Information Technology Co., Ltd., Suzhou 215000, China
  • Received:2021-12-10 Online:2022-02-15 Published:2022-03-14

摘要:

数据作为推动经济社会发展及数字化转型的新动能已成为社会共识,数据质量已成为影响数据要素发挥价值的重要因素。在政务领域,随着数据应用的深度和广度逐渐加强,数据质量问题已成为数据深化应用的制约因素。以数据质量管理相关理论为基础,以源头数据质量管控为手段,提出了基于智能化数据探索的数据质量管理方法,即通过数据质量管理激活数据资源价值,该方法在政务数据质量管理工作中具有借鉴意义。

关键词: 数据质量, 政务大数据, 数据探索

Abstract:

As social consensus, data has become a new driving force for economic and social development and digital transformation, while data quality has become an important factor affecting the value of data elements. In the field of e-government, the depth and breadth of the data application are gradually strengthening, and the problem of data quality has become the restricting factor of data deepening application. The article is based on the theory of data quality management, using the control over source data quality as a means, advances a method of data quality management based on intelligent data exploration, which is to activate data value through data quality management. The method can be used for reference in the work of e-government’s data quality management.

Key words: data quality, big data of e-government, data exploration

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