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the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Presentation to:
By:
Date:
Automation of Data Quality Validation
based on Common Rules for Pan-
European Geoinformation Production
ICC2013
Anja Hopfstock (BKG Germany), Matt Beare (1Spatial),
Antti Jakobsson (NLS Finland)
28.08.2013
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Agenda
Introduction and Background
E.L.F. project
EuroGeographics
Why automation of DQ validation?
What has been done so far?
Results of the ESDIN project
Results of prototype implementation for ERM
Benefits and challenges
Next steps for E.L.F.
Conclusions
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
The European Location Framework
technical infrastructure which
delivers
authoritative,
interoperable,
cross-border
reference geo-information for
analysing and understanding
information connected to
places and features
28 August, 2013
ONE SOURCE FOR
REFERENCE GEO-INFORMATION
FOR EUROPE
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
NMCA
Authoritative
data
… in the sense of turning authoritative reference
geodata into a real European location framework
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Project partners and implementation
30 partners
EuroGeographics
15 NMCAs
3 service integrators
6 application developers
2 universities
3 user community
representatives
Three phases
Global and Regional
Cluster Areas
New Cluster Areas
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
EuroGeographics
28 August, 2013
„The official and united voice of
Europe's National Mapping and
Cadastral Agencies“
Association of European
National Mapping and
Cadastral Agencies
Currently 59 organisations
from 46 countries
www.eurogeographics.org
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Pan-European Reference Datasets
28 August, 2013
Reference Datasets
Harmonisation
Data models
Reference data
EuroGlobalMap
1:1 000 000
EuroBoundaryMap
1:100 000
EuroDEMEuroRegionalMap
1: 250 000
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Why automation of DQ validation?
Change in how geo-information is
produced and consumed
for variety of purposes
broad range of consumers
Multiple sources including VGI
Data models more complex
Reference geo-information needs
quality (authoriative data)
INSPIRE directive of the EU(2007)
Annex I, II
Connecting reference information to
other information
Linked Open Data
Need for provision of cost/time
effective and standardised
framework to measure and
improve quality
Meeting the changed needs
Increase of users’ trust
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Data Quality Management
Three approaches
Data Centric ->
evaluating quality
(ISO 19157 and
ESDIN)
Process Centric ->
evaluating capability
(ISO 19158)
User Centric
approach -> creating
trust -> authorative
sources , usability
evaluation -> ELF
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
ESDIN Metadata and Quality guidelines
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Automatic DQ - Pilot Implementation
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Quality reports
28 August, 2013
Reports (Excel) Mark-ups (Shapefiles)
Info Title sheet (with information
about the rules for Hydro)
Comply features that fail the ‘comply’
rule set
Comply summary of the high-level
statistics for
o the whole dataset,
o class by class,
o rule by rule basis.
Aspire features that fail the ‘aspire’
rule set
Aspire Same as above for desirable
‘aspire’
data quality rules
Vertex features that fail the specific
rule for minimum vertex
distance
Profiles set of tables relating to
specific data characteristic
distributions on specific
classes, on the frequency of
values across the data
Xborder
(for Trans)
highlighting where data is not
consistent across state borders
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Quality metrics (1)
The “obj Count” column gives the number of features
checked
The “No. Fail” column gives the number of feature that
have failed the rule(s)
The “% pass” column gives the percentage of
conformance regarding the rule, feature class or the
whole dataset.
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Quality metrics (2)
By feature class
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Error Mark-up Layers
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Benefits and Challenges
Key benefits
Broadening scope of existing validation process for ERM
Providing measures for usability evaluation
Make informed qualitative assertions on the dataset quality and between national
contributions
Challenges
Aggregation where measurements at
different scales and units
Aggregation for inhomogeneous data
Reporting details
 DQ for producers vs. Users
 DQ requirements vs. recommendations
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Next Steps for E.L.F.
Deploy Automatic DQ Process and Rules
to Cloud-based Service Environment
Easy access to commonly agreed rule sets for ELF
Consistent assessment across multiple datasets
Assist in provision of homogeneous data content
Define User-Centric Measures
for an end user application
For example, establish key data measures needed to
assure confidence in the data that will be used to
determine risk scores in natural catastrophe risk
assessment applications for insurance.
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Conclusions
There is a need to introduce a better management of quality for reference data
Government policies are key driver for the reference geo-information (Open Data,
INSPIRE, European Location Framework)
Cost effectiveness is important -> automation of quality evaluation is a
prerequisite
User demands > creating trust -> need for authorativiness, accreditation (ISO
19158)
Quality Automation based on ELF will decrease production cost and time -> faster
and more frequent release of reference geo-information (e.g. European datasets)
28 August, 2013
the Competitiveness and Innovation framework Programme (CIP)
ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK
Thank you for your attention!
Questions
28 August, 2013
Contact:
anja.hopfstock@bkg.bund.de
matt.beare@1spatial.com
antti.jakobsson@nls.fi

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ELF ICC Anja Hopfstock

  • 1. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Presentation to: By: Date: Automation of Data Quality Validation based on Common Rules for Pan- European Geoinformation Production ICC2013 Anja Hopfstock (BKG Germany), Matt Beare (1Spatial), Antti Jakobsson (NLS Finland) 28.08.2013 28 August, 2013
  • 2. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Agenda Introduction and Background E.L.F. project EuroGeographics Why automation of DQ validation? What has been done so far? Results of the ESDIN project Results of prototype implementation for ERM Benefits and challenges Next steps for E.L.F. Conclusions 28 August, 2013
  • 3. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK The European Location Framework technical infrastructure which delivers authoritative, interoperable, cross-border reference geo-information for analysing and understanding information connected to places and features 28 August, 2013 ONE SOURCE FOR REFERENCE GEO-INFORMATION FOR EUROPE
  • 4. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK NMCA Authoritative data … in the sense of turning authoritative reference geodata into a real European location framework 28 August, 2013
  • 5. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Project partners and implementation 30 partners EuroGeographics 15 NMCAs 3 service integrators 6 application developers 2 universities 3 user community representatives Three phases Global and Regional Cluster Areas New Cluster Areas 28 August, 2013
  • 6. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK EuroGeographics 28 August, 2013 „The official and united voice of Europe's National Mapping and Cadastral Agencies“ Association of European National Mapping and Cadastral Agencies Currently 59 organisations from 46 countries www.eurogeographics.org
  • 7. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Pan-European Reference Datasets 28 August, 2013 Reference Datasets Harmonisation Data models Reference data EuroGlobalMap 1:1 000 000 EuroBoundaryMap 1:100 000 EuroDEMEuroRegionalMap 1: 250 000
  • 8. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Why automation of DQ validation? Change in how geo-information is produced and consumed for variety of purposes broad range of consumers Multiple sources including VGI Data models more complex Reference geo-information needs quality (authoriative data) INSPIRE directive of the EU(2007) Annex I, II Connecting reference information to other information Linked Open Data Need for provision of cost/time effective and standardised framework to measure and improve quality Meeting the changed needs Increase of users’ trust 28 August, 2013
  • 9. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Data Quality Management Three approaches Data Centric -> evaluating quality (ISO 19157 and ESDIN) Process Centric -> evaluating capability (ISO 19158) User Centric approach -> creating trust -> authorative sources , usability evaluation -> ELF 28 August, 2013
  • 10. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK ESDIN Metadata and Quality guidelines 28 August, 2013
  • 11. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Automatic DQ - Pilot Implementation 28 August, 2013
  • 12. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Quality reports 28 August, 2013 Reports (Excel) Mark-ups (Shapefiles) Info Title sheet (with information about the rules for Hydro) Comply features that fail the ‘comply’ rule set Comply summary of the high-level statistics for o the whole dataset, o class by class, o rule by rule basis. Aspire features that fail the ‘aspire’ rule set Aspire Same as above for desirable ‘aspire’ data quality rules Vertex features that fail the specific rule for minimum vertex distance Profiles set of tables relating to specific data characteristic distributions on specific classes, on the frequency of values across the data Xborder (for Trans) highlighting where data is not consistent across state borders
  • 13. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Quality metrics (1) The “obj Count” column gives the number of features checked The “No. Fail” column gives the number of feature that have failed the rule(s) The “% pass” column gives the percentage of conformance regarding the rule, feature class or the whole dataset. 28 August, 2013
  • 14. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Quality metrics (2) By feature class 28 August, 2013
  • 15. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Error Mark-up Layers 28 August, 2013
  • 16. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Benefits and Challenges Key benefits Broadening scope of existing validation process for ERM Providing measures for usability evaluation Make informed qualitative assertions on the dataset quality and between national contributions Challenges Aggregation where measurements at different scales and units Aggregation for inhomogeneous data Reporting details  DQ for producers vs. Users  DQ requirements vs. recommendations 28 August, 2013
  • 17. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Next Steps for E.L.F. Deploy Automatic DQ Process and Rules to Cloud-based Service Environment Easy access to commonly agreed rule sets for ELF Consistent assessment across multiple datasets Assist in provision of homogeneous data content Define User-Centric Measures for an end user application For example, establish key data measures needed to assure confidence in the data that will be used to determine risk scores in natural catastrophe risk assessment applications for insurance. 28 August, 2013
  • 18. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Conclusions There is a need to introduce a better management of quality for reference data Government policies are key driver for the reference geo-information (Open Data, INSPIRE, European Location Framework) Cost effectiveness is important -> automation of quality evaluation is a prerequisite User demands > creating trust -> need for authorativiness, accreditation (ISO 19158) Quality Automation based on ELF will decrease production cost and time -> faster and more frequent release of reference geo-information (e.g. European datasets) 28 August, 2013
  • 19. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Thank you for your attention! Questions 28 August, 2013 Contact: anja.hopfstock@bkg.bund.de matt.beare@1spatial.com antti.jakobsson@nls.fi