数据仓库中影响数据质量因素的度量模型

N. Zellal, A. Zaouia
{"title":"数据仓库中影响数据质量因素的度量模型","authors":"N. Zellal, A. Zaouia","doi":"10.1109/CIST.2016.7805102","DOIUrl":null,"url":null,"abstract":"The quality of data in data warehouse is very important for decision making. That's why we have been interested in studying the factors that influence this data quality. The first influencing factor is the quality of data at the source, and there are many other factors moderating this influence between data quality at the source and data quality at the data warehouse. This is what we have tried to gather in a research model in a previous work [1]. In order to validate this research model, we would like to conduct a survey and analyze the results using Structural Equation Modeling. And to prepare the survey, it is necessary to figure out the measured variables for each latent variable in the research model. So we aim, in this paper, to propose measurement items for each construct refereeing to the previous works and adapting them to our context.","PeriodicalId":196827,"journal":{"name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A measurement model for factors influencing data quality in data warehouse\",\"authors\":\"N. Zellal, A. Zaouia\",\"doi\":\"10.1109/CIST.2016.7805102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The quality of data in data warehouse is very important for decision making. That's why we have been interested in studying the factors that influence this data quality. The first influencing factor is the quality of data at the source, and there are many other factors moderating this influence between data quality at the source and data quality at the data warehouse. This is what we have tried to gather in a research model in a previous work [1]. In order to validate this research model, we would like to conduct a survey and analyze the results using Structural Equation Modeling. And to prepare the survey, it is necessary to figure out the measured variables for each latent variable in the research model. So we aim, in this paper, to propose measurement items for each construct refereeing to the previous works and adapting them to our context.\",\"PeriodicalId\":196827,\"journal\":{\"name\":\"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIST.2016.7805102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIST.2016.7805102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

数据仓库中的数据质量对决策非常重要。这就是为什么我们对研究影响数据质量的因素很感兴趣。第一个影响因素是源数据的质量,还有许多其他因素缓和源数据质量和数据仓库数据质量之间的影响。这是我们在之前的工作[1]中试图收集的研究模型。为了验证这一研究模型,我们将使用结构方程模型进行调查和分析结果。为了准备调查,有必要为研究模型中的每个潜在变量找出测量变量。因此,我们的目标是,在本文中,为每个结构提出测量项目,参考以前的工作,并使它们适应我们的背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A measurement model for factors influencing data quality in data warehouse
The quality of data in data warehouse is very important for decision making. That's why we have been interested in studying the factors that influence this data quality. The first influencing factor is the quality of data at the source, and there are many other factors moderating this influence between data quality at the source and data quality at the data warehouse. This is what we have tried to gather in a research model in a previous work [1]. In order to validate this research model, we would like to conduct a survey and analyze the results using Structural Equation Modeling. And to prepare the survey, it is necessary to figure out the measured variables for each latent variable in the research model. So we aim, in this paper, to propose measurement items for each construct refereeing to the previous works and adapting them to our context.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信