Download - The sustainability of GIS data
The sustainability of GIS data
A research into sustainable GIS data at drinking water companies.
Daan van Os August 2013
AgendaWhy this research?What has been researched?How has this research been conducted?What are the findings?What are the conclusions and
recommendations?
ReasonDataproblems at asset registration
Use of GIS at decision makingStart of project to improve data
Research assignment“What causes quality reduction of GIS data at Dutch drinking water companies and what are the possibilities to reduce this quality reduction, to ensure GIS data meet the future quality requirements?”
Research structureData qualitySustainabilityData problemsDevelopment of data problemsProduction of GIS data
Research into literature Research into literature
listing data problemslisting data problems
Relate data problems to the production process and make recommendations for sustainable data improvement Relate data problems to the production process and make recommendations for sustainable data improvement
Top 4 data problems related to area, time or process
Top 4 data problems related to area, time or process
AreaArea TimeTime
LiteratureData quality
Data quality is the level to which data are fit for purpose.
SustainabilitySustainable development is development that
meets the needs of the present without compromising the ability of future generations to meet their own needs.
Sustainability of GIS data is the degree to which data in a GIS
meet the current and future needs of the GIS users.
Sustainability of GIS data is the degree to which data in a GIS
meet the current and future needs of the GIS users.
Problem inventoryInventory at all Dutch drinking water
companies.Top four national data problems:
Positional uncertaintyUnknown building yearWrong combination of material and building
yearWrong material
Percentage uncertain registration
1800 1908 1920 1926 1931 1936 1941 1946 1951 1956 1961 1966 1971 1976 1981 1986 1991 1996 2001 2006 20110
5
10
15
20
25
30
Wrong combination of material and building year
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
0
2000
4000
6000
8000
10000
Lenth GIJ per building year
Boxm
eer
Breda
Eindh
oven
Geldr
op-M
ierlo
Goirle
Heusd
en
Oirsch
ot
Oiste
rwijk
Ooste
rhou
t
s Her
toge
nbos
ch
Tilbur
g
Veghe
l
Vught
0
5000
10000
15000
20000
25000
Lenth GIJ per community
Wrong material
Causes of data problemsUncertain location
Absence of measurementNo indication of used method
Unknown building yearAttribute not entered when merging databases
Wrong combination of material and building yearInput errorNo registration of new material
Wrong materialConversion error
Production process of GIS dataRegistration of mains is a process.Production process in relation to quality.ISO 9000 quality principles used on
registration of mains.By improving the production process, the
data quality improves as well.
AbstractData problem Cause Recommandation
Positional uncertainty No measurementsUnclear methodNew method of working
Accuracy demandCheck on location according demand
Unknown building year Empty attribute Fill in new attributes at existing objects. Input through list of options
Wrong combination of attributes
Input errorsWay of registration
Knowledge preservationInvolve constructor at revisionDetermine the consequenses of new procedure to registration
Wrong material Conversion errors by lack of knowledge
Involve end users at conversion
Discussion and conclusionsNine out of 179 quality aspects are used. In finding the cause of data problems, the
procedures and data of Brabant Water are used.
Quality principles from ISO 9000 can be used to make data quality sustainable.
Thank you for your attention!