How to Report on Data Quality in a Multinational Environment?

Transcription

1 How to Report on Data Quality in a Multinational Environment? Presentation to: By: Date: SDMQ2015 Anja Hopfstock, BKG

2 Agenda ELF architecture Data Quality Management Data Quality Reporting Summary & Conclusions

3 ELF Architecture

4 ELF Geo-tools for Reference Data: edge matching, generalisation, transformation, change detection visualization, data quality analysis and improvement, service testing National Mapping & Cadastral Authorities NSDIs Other Data Providers ELF Platform: Reference Data & Services NMCA data NMCA data European data Other Reference Data Geo Product Finder ELF OSKARI INSPIR E/ ELF INSPIR data E/ ELF Geo data Locator locationframework.eu Applications: Use Reference Data and Other Data in any Application Environment Map Applications Value-added Web Services elf.maps.arcgis.co m GIS Platforms: Data and Application Hubs of the ELF Infrastructure feature data, gridded data, map tiles Web Services JavaScript APIs Mobile SDKs Map Applications

5 Data Quality management

6 Data Quality Viewpoints Data Data Conformance with data specifications Detailed error reports Process Production process Validation tools Organisation General DQ status User DQ Management Process Comparative assessment User Usability for intended use Organisation

7 Experience from Eurogeographics

8 (5) (2) (3) (4) (1)

9 Data Quality Reporting How data quality reporting can organised to meet the expectations of producers, management and users?

10 ELF Data supply chain NO OK YES Data Producers NMCA ELF quality/ validation Start Update and maintain ELF transformation ELF edge-matching National Data Sources NO ELF national dataset ELF IB NO End OK ELF national dataset release tn YES Elf platform YES OK ELF Changes detection Quality assessment report Elf platform National web service ELF quality/ validation control ELF national dataset, release tn+1 Coordination Body ELF national dataset cross- border ELF Coordination Body

11 National producers (NMCAs) Check national data after transformation into ELF specification, send error statistics and feature statistics to Coordination Body State if change detection tool and/or edge matching tool was used and send reported error statistics from tools to Coordination Body Report national specifics in metadata Completeness: missing feature and attribute information Mismatch in classification Currency Scale Out of scope for ELF: checking of national requirements and checking against reality

12 Coordination body Final acceptance to ELF platform Check error statistics, feature statistics and metadata from national producers State if data is accepted (as INSPIRE or ELF) or rejected, ask NMCA to improve the data quality if necessary Data quality reporting for users and ELF management Review error statistics from all processing steps and metadata for a specific use case (only a part of the requirements have to be met) Aggregate quality results Original feature statistics and metadata also available in ELF GeoProductFinder

13 Expert Reviews Input: Quality information coming from each interoperability process Feature statistics from data quality tools Metadata on data quality general information (national specifics) Aggregate results for reporting to ELF management and users comparative assessment agreed conformance classes (for themes, not whole countries) acceptance levels based on use cases and user requirements. Aggregated quality results made available in ELF GeoProductFinder as Expert Reviews

14 Summary & Conclusions

15 ELF Data supply chain & Quality Reporting Data Producers NO DQ MD Document national specifics OK ELF quality/ validation YES Validation report Feature statistics Start Update and maintain ELF transformation ELF edge-matching NO National Data Sources NO ELF national dataset ELF IB End OK ELF national dataset release tn YES Elf platform Expert review YES OK ELF Changes detection Quality assessment report Elf platform National web service ELF quality/ validation control ELF national dataset, release tn+1 ELF national dataset cross- border Aggregation of quality results Comparative assessment ELF Coordination Body

16 From isolated components to integrated, crossborder seamless authoritative reference data Thank you! Contact: