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

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...

Full description

Bibliographic Details
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
_version_ 1818020132507615232
author J. L. Harding
author_facet J. L. Harding
author_sort J. L. Harding
collection DOAJ
description 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.
first_indexed 2024-04-14T08:00:59Z
format Article
id doaj.art-0b284eb1b93144709888a15df40c49e1
institution Directory Open Access Journal
issn 1682-1750
2194-9034
language English
last_indexed 2024-04-14T08:00:59Z
publishDate 2013-05-01
publisher Copernicus Publications
record_format Article
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj.art-0b284eb1b93144709888a15df40c49e12022-12-22T02:04:54ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-05-01XL-2/W1596310.5194/isprsarchives-XL-2-W1-59-2013DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGESJ. L. Harding0Ordnance Survey, Adanac Drive, Southampton, UKThis 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W1/59/2013/isprsarchives-XL-2-W1-59-2013.pdf
spellingShingle J. L. Harding
DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
title_full DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
title_fullStr DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
title_full_unstemmed DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
title_short DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
title_sort data quality in the integration and analysis of data from multiple sources some research challenges
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W1/59/2013/isprsarchives-XL-2-W1-59-2013.pdf
work_keys_str_mv AT jlharding dataqualityintheintegrationandanalysisofdatafrommultiplesourcessomeresearchchallenges