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!