QUALITY KEN & EUROSDR ELF Data Quality Tools Bob Chell, Managing Consultant
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- QUALITY KEN & EUROSDR ELF Data Quality Tools Bob Chell,
Managing Consultant
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- We solve problems using our own technologies and other
vendors
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- 1Spatial and INSPIRE JRC - Technical Guidance for INSPIRE
Schema Transformation Network Services Underpinning the European
Spatial Data Infrastructure with a best practice Network
AGI-Accredited Training Course Data Specifications Consultation on
Transformation & Conformance Testing Quality Tool for NMCAs to
have their data quality checked, for ELF as a report tool about
status regarding quality and Provide usability check of specific
user solutions
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- Data Improvement Process Agree Quality Mission Define Rule
Metadata Check Conformance Perform Data Reconciliation Data
Publication Master Data Management Data Certification Data
Discovery Data Quality AssessmentData Quality Management Baseline
Assessment
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- Rules-based Paradigm Fact Pattern Action Given some facts, if
they meet any of the patterns/rules, perform the defined action
Declarative rule separated from processing Pluggable actions
reporting/ reconciliation DataRule A Report Action A Reconcile
Action A
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- Improve the availability of NMCA data to support the creation
of innovative value-added services. To enable the NMCA to deliver
consistent, edge- matched and conformant data, these tools are:
Transformation (source format to ELF format) Data Quality (enforce
conformity) Generalisation (derived ELF Regional & ELF Global)
Edge Match (Support cross boarder consistency) Visualisation
(representation)
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- Quality Validation and Assurance: Provision of a data quality
evaluation and assurance tool based on ESDIN results and WP2
specifications. Import ELF data, whose specification will be based
on INSPIRE specifications (GML 3.2.1) A validation tool for testing
the conformance of the ELF data against the quality requirements
for that product Output quantitative analysis reports for the
management level reporting
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- Cloud based spatial data validation service Enable users to
quality assure their data against a set of business rules Non
conforming feature identified back to the user Extended to support
ELF data and validate the Hydrographic, Settlement and Transport
themes Data Upload Rule Selection Validation Report Generation
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- Data Improvement Process Agree Quality Mission Define Rule
Metadata Check Conformance Perform Data Reconciliation Data
Publication Master Data Management Data Certification Data
Discovery Data Quality AssessmentData Quality Management Baseline
Assessment
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- ELF Geo Tools 1Spatial ELF deliverables - D4.2 Data Quality
tool based on 1Spatial Cloud - D4.3 Generalisation tool based on
1Generalise - D4.4 Edge Matching tool based on1Spatial Cloud
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- ELF Data Quality Roadmap Implement complete rule set for the
project ELF Data Support Output quantitative analysis reporting
ISO19157 Support Quality Metadata Scalable Data Access Support
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- Product Integration
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- Follow us @1spatial Bob Chell bob.chell@1spatial.com