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measuring data quality
相关语句
  度量数据质量
     A method for measuring data quality and for computing intermediate data quality and final information product quality is proposed by analyzing and studying information manufacturing systems.
     通过对信息制造系统进行详细分析和研究 ,提出了度量数据质量、计算中间数据质量和最终信息产品质量的方法 .
短句来源
  “measuring data quality”译为未确定词的双语例句
     Measuring data quality of clinical trials
     临床试验数据质量的评估
短句来源
     Each step about data which are collected, reported and manipulated has an error rate associated with it. Therefore, measuring data quality is a key element of quality control for clinical trial data.
     临床试验数据的采集、报告与处理的每一步骤都可能伴随错误 ,临床试验数据质量的评估是临床试验质量控制的重要措施。
短句来源
  相似匹配句对
     On the Indirect Data Measuring
     间接测量数据算法探讨
短句来源
     DATA
     数据
短句来源
     Calculate and analyze measuring data;
     计算分析测量数据;
短句来源
     Measuring data quality of clinical trials
     临床试验数据质量的评估
短句来源
     data sections.
     data块的DES加密过程.
短句来源
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  measuring data quality
The proposed data quality framework provides an integrated approach for planing and measuring data quality in Data Warehousing.
      
Figure 4 shows an integrated approach for planing and measuring data quality.
      
Data quality characteristics are founding the core element for planing and measuring data quality in Data Warehousing.
      
As key part of method-based DQM an approach for planing and measuring data quality will be illustrated and explained.
      


According to the position in the data flowing graph in GIS, geographic data are classified into the following kinds: first data, database data, middle data and final data. An index for measuring data quality is added to the data “atom” in GIS. The geographic data quality model at different step in GIS is proposed. The analysis of the models indicates that the data quality of first data plays the most important role in GIS products. The factors effecting the data...

According to the position in the data flowing graph in GIS, geographic data are classified into the following kinds: first data, database data, middle data and final data. An index for measuring data quality is added to the data “atom” in GIS. The geographic data quality model at different step in GIS is proposed. The analysis of the models indicates that the data quality of first data plays the most important role in GIS products. The factors effecting the data quality in GIS and three quality control ways are generalized.

在地理信息系统的数据原子中加入了数据质量量测指标。提出了地理数据在地理信息系统各阶段的数据质量模型,归纳了影响地理信息系统数据质量的因素和3种质量控制方法。

A method for measuring data quality and for computing intermediate data quality and final information product quality is proposed by analyzing and studying information manufacturing systems. According to quality function of processing module, an algorithm for determining information product quality is also provided. The algorithm can be used to analyze the impact of primary data quality and processing effectiveness on information product quality.

通过对信息制造系统进行详细分析和研究 ,提出了度量数据质量、计算中间数据质量和最终信息产品质量的方法 .针对处理模块的质量函数 ,提出了确定信息产品质量的算法 .该算法也可用于分析原始数据质量及处理有效性对信息产品质量的影响

Each step about data which are collected, reported and manipulated has an error rate associated with it. Therefore, measuring data quality is a key element of quality control for clinical trial data. The techniques of measuring data quality includes: evaluating data precision, establishing inter-rater reliability,aggregating statistics and statistical process control charts, cross checking between referential data, checking the format of lab reports, checking among relevant...

Each step about data which are collected, reported and manipulated has an error rate associated with it. Therefore, measuring data quality is a key element of quality control for clinical trial data. The techniques of measuring data quality includes: evaluating data precision, establishing inter-rater reliability,aggregating statistics and statistical process control charts, cross checking between referential data, checking the format of lab reports, checking among relevant documents and data, comparing between source data and CRF, and between CRF and database, data validating, calculating error rate in the processes of data processing, laboratory normalizing and data cleaning.

临床试验数据的采集、报告与处理的每一步骤都可能伴随错误 ,临床试验数据质量的评估是临床试验质量控制的重要措施。数据质量评估技术如 :数据精度评估技术 ,研究者信度评估技术 ,汇总统计 (AggregateStatistics)和对试验过程的统计监控图 (StatisticalProcessControlCharts)技术 ,数据记录一致性的交叉核对技术 ,实验室报告常规格式核对技术 ,关联文件与关联数据的核查技术 ,源数据与CRF以及CRF与数据库对照检查技术 ,数据库数据证实(DataValidation)技术 ,数据处理过程的差错率评估技术 ,实验室数据标准化技术 (laboratorynormalizationtechniques) ,数据清理 (dataclean)技术

 
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