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政府数字信息资源质量控制机制研究 被引量:6

Research on the Quality Control Mechanism of Government Digital Information Resources
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摘要 [目的/意义]数字信息资源质量是政府数字信息资源价值实现的关键,政府数字信息资源质量控制机制研究有助于提升政府数字信息资源的质量,进而促进政府数字信息资源的价值实现。[方法/过程]首先,对政府部门数字信息资源质量和数据开放平台的政府开放数据质量进行调查,发现政府数字信息资源质量存在不准确、不及时、不一致、不完整、不规范、时效性差、可用性不高等主要问题。其次,对政府数字信息资源质量问题产生原因进行分析总结,如政府数字信息资源质量管理缺乏有效的领导,政府数字信息资源的多源性,政府数字信息资源质量缺少统一的政策,政府数字信息资源质量控制环节薄弱等。[结果/结论]最后,设计并构建了政府数字信息资源质量控制机制,包括战略支持机制、组织保障机制、流程控制机制、监督反馈机制。 [Purpose/significance]The quality of digital information resources is the key to the realization of the value of government digital information resources.Research on the quality control mechanism of government digital information resources can help improve the quality of government digital information resources,and then promote the value realization of government digital information resources.[Method/process]First,the quality of government digital information resources and the quality of open government data on open data platforms were investigated,and it was found that the quality of government digital information resources was inaccurate,untimely,inconsistent,incomplete,irregular,poor timeliness,and low availability.Secondly,the paper analyzes and summarizes the reasons for the quality problems of government digital information resources,such as the lack of effective leadership in the quality management of government digital information resources,the multi-source nature of government digital information resources,the lack of unified policies for the quality of government digital information resources,and the weak links in the quality control of government digital information resources.[Result/conclusion]Finally,the quality control mechanism for government digital information resources was designed and constructed,including strategic support mechanism,organizational guarantee mechanism,process control mechanism and supervisory feedback mechanism.
作者 白献阳 邝苗苗 Bai Xianyang
出处 《情报理论与实践》 CSSCI 北大核心 2021年第7期71-78,共8页 Information Studies:Theory & Application
基金 国家社会科学基金重大项目“我国政府数据治理与利用能力研究”(项目编号:20&ZD161) 国家社会科学基金青年项目“数据开放环境下政府数字信息资源质量保障研究”(项目编号:14CTQ025)的成果之一。
关键词 政府数字信息资源 信息资源质量 信息质量控制 控制机制 government digital information resources information resources quality information quality control control mechanism
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  • 1邓中国,周奕辛.数据清洗技术研究[J].山东科技大学学报(自然科学版),2004,23(2):55-57. 被引量:7
  • 2王新英,陈语林.数据抽取、转换、装载综述[J].企业技术开发,2004,23(8):3-5. 被引量:18
  • 3Joseph M. Juran, A. Blanton Godfrey. 朱兰质量手册[M].焦叔斌等译.第五版.北京:中国人民大学出版社,2003:740-741. 被引量:2
  • 4Strong D M, Lee Y W, Wang R Y. 10 Potholes in the Road to Information Quality[J]. IEEE Computer, 1997, 30(8): 38-46. 被引量:1
  • 5Joseph M. Hellerstein. Quantitative Data Cleaning for Large Databases [J/OL]. 2008, EECS Computer Science Division. UC Berkeley, http://db.cs.berkeley.edu/jmh/cleaning-unece.pdf. 被引量:1
  • 6Martin J. Eppler, Rene Algesheimer, Marcus Dimpfel. Quality Criteria of Content-Driven Websites and their Influence on Customer Satisfaction and Loyalty: an Empirical Test of an Information Quality Framework[C]. the Eighth International Conference on Information Quality (IQ 2003), November 7-9. 2003. MIT 2003: 108-120. 被引量:1
  • 7Sara Cushman. Billions Lost to Poor Data Quality [J/OL]. 2002, http://searchdatabase, techtarget.com. 被引量:1
  • 8姜作勤.数据质量研究与实践的现状及空间数据质量标准[J/OL]. 2004(2006-11-17)[2008-9-17].http://www.lrn.cn/books-collection/magazines/maginformatization/2004maginformatization/ 2004_3/200611/t20061117_3136.htm. 被引量:1
  • 9Meta Group. Data Warehouse Scorecard. Meta Group, 1999. 被引量:1
  • 10Lueebber D, Grimmer U. Systematic Development of Data Mining Based Data Quality Tools[C]. In: 29th VLDB, 2003. 被引量:1

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