DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
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多源数据整合和分析中的数据质量：一些研究挑战
DOI：
10.5194/isprsarchives-xl-2-w1-59-2013
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
J. Harding
中科院分区：
文献类型：
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作者：
J. Harding
本文介绍了初步工作，以研究在用于研究目的的简单数据集成和分析原型中管理数据质量意味着什么，其中输入数据集来自一系列不同的来源。考虑了空间数据质量的标准元素（如 ISO 19115:2003）如何在原型环境中应用，该原型基于相对直接的“找房”场景。基于初步发现，本文旨在定位进一步的工作，围绕改进数据质量管理和涉及地理信息的分析过程中的通信的需求确定一系列研究问题。虽然没有提供解决方案或提出新问题，但希望本文可以为分析领域更多应用和以用户为中心的数据质量研究提供支持。
This paper describes preliminary work to investigate what it means to manage data quality in a simple data integration and analysis prototype for research purposes, where input datasets are from a range of different sources. Consideration is given to how standard elements of spatial data quality (as in ISO 19115:2003) apply in the context of the prototype, which is based on a relatively straight forward "house hunting" scenario. Based on initial findings the paper aims to position further work, identifying a series of research questions around needs for improved data quality management and communication in analytical processes involving geographic information. While not providing solutions or raising novel issues it is hoped the paper may serve to add support for more applied and user focused data quality research in the area of analytics.