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This paper describes preliminary work to investigate what it means to manage data quality in a simple data integration and analysisprototype for research purposes, where input datasets are from a range of different sources. Consideration is given to how standardelements of spatial data quality (as in ISO 19115:2003) apply in the context of the prototype, which is based on a relatively straightforward "house hunting" scenario. Based on initial findings the paper aims to position further work, identifying a series of researchquestions around needs for improved data quality management and communication in analytical processes involving geographicinformation. While not providing solutions or raising novel issues it is hoped the paper may serve to add support for more appliedand user focused data quality research in the area of analytics

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

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