摘要
数据质量是实施智慧治理的基础。从数据使用者的视角出发,以D市智慧治理项目为案例,基于多渠道收集的资料,剖析数据质量管理的困境及其产生的原因,并提出相应对策。研究发现,智慧治理项目中数据质量管理困境表现为管理制度机制不健全、数据质量评价指标不适配以及协同中信息传递不畅通。困境产生的原因是项目建设中质量管理要求特殊性、数据资源可用程度难以匹配使用需求以及理念惯性下质量管理共识难以支撑管理执行。突破困境的关键是,提高质量管理理念共识化程度,增强质量评价方法动态化能力以及优化数据协同策略精细化粒度。
Data quality is the foundation for implementing smart governance.Based on a case study of the construction of smart governance projects in City D and data collection from different channels,this article aims to analyze the challenges and their reseasons for data quality management and propose the countermeasures from the perspective of data users.The challenges are inadequate management systems and mechanisms,mismatched data quality evaluation indicators,and obstructed information transmission during collaboration.The reasons include the particularity of quality management requirements in project construction,the difficulties in matching data resources with usage needs,and consensus on quality management difficult to support management execution because of the inertia of thoughts.The following suggestions are brought forth:enhancing the degree of consensus on quality management concepts,upgrading the dynamic ability of quality evaluation methods,and optimizing the refinement granularity of data collaboration strategies.
作者
秦之湄
张会平
王斌
周婧超
陈祎
钟书丽
QIN Zhimei;ZHANG Huiping;WANG Bin;ZHOU Jingchao;CHEN Yi;ZHONG Shuli(Smart Chengdu Research Institute Co.,Ltd.,Chengdu 610000,China;School of Public Affairs and Administration,University of Electronic Science and Technology of China,Chengdu 611731,China;Chengdu Data Group Co.,Ltd.,Chengdu 610000,China)
出处
《大数据》
2024年第5期151-167,共17页
Big Data Research
基金
国家社会科学基金项目(No.21XGL005)。
关键词
智慧治理
数据质量管理
数据赋能
smart governance
data quality management
data empowerment
