针对科技基础性工作项目汇交数据质量审查人工效率低、易出错的现状,设计了基于自定义约束规则的项目汇交数据质量审查模型.模型由构建器、规则库和判断器3个部分构成,其中构建器主要是用于约束规则的配置;规则库由一系列规则集构成,每个规则集都从数据的完整性、一致性和约束性3个方面进行约束规则的定义,完成定义的规则集构成一个审查模板;判断器主要是将审查模板应用于一个数据集进行审查并输出审查意见.实践证明,该模型能够满足科技基础性工作项目汇交数据质量审查的工作要求,提高了科技基础性工作项目汇交数据质量审查的质量和效率,同时也为其他类似数据质量审查工作提供了技术参考.%Considering the situations of the low efciency and fallibility in manually data quality inspection for the data from basic work of science and technology, a data quality inspection model on basic work of science and technology was designed based on custom constraint rules. The model consists of constructor, rule database and a judge determiner. The constructor is mainly used for the building of custom constraint rules. The rule database is composed of a series of rule collections. Each rule collection, namely as an inspection template, can be defined from integrality, consistency and restriction. The data will be checked based on an inspection template selected by the judge determiner with results exported. Study showed that the data quality review model can meet the work requirements in data review of basic work of science and technology. It improves the quality and efciency of data quality review, and provides a technical reference for other similar data quality audits.
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