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统计学科对数据质量管理的系统研究和实践落后于信息科学和会计学,因此有必要结合质量管理的一般原则和这两个学科的经验来改进统计数据质量管理。文章在全面数据质量管理的框架中补充了适合统计数据质量管理的一些特征。结合会计信息质量框架和对数据质量的效益成本的综合考虑,文章认为可以用其他数据质量特征取代客观性,而对可及性的处理则必须权衡数据保密性、信息技术和成本的诸多约束。
Abstract：It is argued that statistics falls behind IT and accounting in the systematic research of data quality management.It will be helpful for statistics data quality management to learn from IT and accounting under general principles of quality management.Desirable characteristics for statistical data quality management are proposed under the framework of total data quality management in this paper.Based on accounting information quality framework and the trade-off between effectiveness and cost of data quality,it is argued that objectivity could be replaced by a combination of some more operative characteristics,and accessibility should be treated under the constraints of data confidentiality,available information techniques and cost of implementation.
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基本信息:
DOI：10.14134/j.cnki.cn33-1336/f.2011.09.004
中图分类号:C829.2
引用信息:
[1]黄向阳,张皓.多学科视角下的统计数据质量管理[J].商业经济与管理,2011,No.239(09):90-96.DOI:10.14134/j.cnki.cn33-1336/f.2011.09.004.
基金信息:
国家社会科学基金项目“精算控制循环和我国基本养老保险制度的数据管理系统”(04CTJ006)
2011-09-15
2011-09-15