| 基于约束规则的科技基础性数据质量审查模型研究与实现 |
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| 引用本文： | 张肖霞,杜,平,陈,杭,鲁玉佳,张金区.基于约束规则的科技基础性数据质量审查模型研究与实现[J].中国信息导报,2017(5):60-67. |
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| 作者姓名： | 张肖霞 杜 平 陈 杭 鲁玉佳 张金区 |
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| 作者单位： | 1.华南师范大学计算机学院，广东广州 510631；2.广东科学技术职业学院广州学院，广东广州 510653 |
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| 基金项目： | 科技基础性工作专项重点项目“科技基础性工作数据资料集成与规范化整编”（2013FY110900）；广东省科技计划项目
“基于O2O 模式的新一代科普作品研发”（2014A070711020）。 |
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| 摘 要： | 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。
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| 关 键 词： | 科技基础性工作 项目汇交 数据质量审查 约束规则 质量审查模型 |
| 收稿时间： | 2017/7/14 0:00:00 |
Research and Implementation of Quality Inspection Model for Basic Data of Science and Technology
Based on Custom Constraint Rules |
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| ZHANG Xiaoxi,DU Ping,CHEN Hang,LU Yuji,ZHANG Jinqu.Research and Implementation of Quality Inspection Model for Basic Data of Science and Technology
Based on Custom Constraint Rules[J].China Information Review,2017(5):60-67. |
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| Authors: | ZHANG Xiaoxi DU Ping CHEN Hang LU Yuji ZHANG Jinqu |
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| Institution: | 1. School of Computer Science, North China Normal University, Guangzhou 510631; 2. Guangzhou School,
Guangdong Polytechnic of Science and Technology, Guangzhou 510551 |
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| Abstract: | Considering the situations of the low efficiency 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 efficiency
of data quality review, and provides a technical reference for other similar data quality audits. |
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| Keywords: | basic work of science and technology project remit data quality review constraint rule quality
audits model |
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