Verification method of data quality in science and technology cloud in Shaanxi province

机译：陕西省科技云中数据质量的验证方法

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This paper analyzes and summarizes the data quality problems in the Shaanxi Science and Technology Resource Coordination Center “Science and Technology Cloud” project. These two major problems about scientific and technological information data quality are verified. One is data redundancy caused by organizations' name abbreviation and the other is partial scientific and technological information data missing. This paper designs and implements solutions to the problems in “Science and Technology Cloud” project. This paper extracts 15643 data from scientific and technical talent pool and scientific literature library. The experimental results verify the effectiveness and feasibility of the solution of data redundancy and data missing.

机译：本文分析并总结了陕西省科技资源协调中心“科技云”项目中的数据质量问题。验证了有关科技信息数据质量的这两个主要问题。一种是由于组织名称缩写引起的数据冗余，另一种是部分科技信息数据丢失。本文设计并实施了解决“科技云”项目中的问题的解决方案。本文从科技人才库和科学文献库中提取了15643项数据。实验结果验证了该解决方案的有效性和可行性。

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《IEEE International Conference on Big Data Analysis》|2018年|319-323|共5页
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Bin Yu; Chen Zhang; ZhouHua Tang; JiangYan Sun;
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Data integrity; Redundancy; Databases; Dynamic programming; Education; Remuneration; Organizations;

机译：数据完整性;冗余;数据库;动态编程;教育;薪酬;组织;

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Verification method of data quality in science and technology cloud in Shaanxi province

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