DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES

• Main Author: J. L. Harding
• Format: Article
• Language: English
• Published: Copernicus Publications 2013-05-01
• Series: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Online Access: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W1/59/2013/isprsarchives-XL-2-W1-59-2013.pdf

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.