摘要
科学数据的质量越高,人们可以越快获得更准确的结论,社会更容易从中获益。要改进科学数据的质量,必须清楚地了解科学数据的性质及其产生过程。本文以科学决策过程为背景,提出数据产品和数据质量的定义,其中假设了两种典型的情景:收集观测数据及进行以文献为基础的研究。然后分析与全面质量管理(TQM)理念相关的两个延伸学科——全面信息质量管理(TIQM)和全面数据质量管理(TDQM),以确定科学数据质量的管理是否有别于其他数据和信息的管理。本文提出规划、评估/保障、控制和持续改进的建议,重点放在将质量设计到生产流程中去,而不是依赖大量的检验。
Better scientific data quality means more accurate conclusions being made more quickly, and benefits can be realized by society more readily. To improve scientific data quality, and provide continuous quality assessment and management, the nature of scientific data and the processes that produce it must be articulated. The purpose of this research is to provide a conceptual foundation for the management of data quality as it applies to scientific data products. Definitions for data product and data quality tailored to the context of scientific decision making are proposed, given two typical scenarios： 1 ） collecting observational data, and 2） performing archive -based research. Two relevant extensions to the total quality management （TQM） philoso- phy, total information quality management （TIQM）, and total data quality management （TDQM） are then examined to determine. Recommendations for planning, assessment/assurance, control, and continuous improvement are proposed, focusing on designing quality into the production process rather than relying on mass inspection.
出处
《中国科技资源导刊》
2009年第4期28-33,共6页
China Science & Technology Resources Review
基金
国家自然科学基金资助项目(70772021
70831003)
中国博士后科学基金资助项目(20060400077)
