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(3) Data scope in INSPIRE

(3) Data scope in INSPIRE. Vlado Cetl. European Commission Joint Research Centre Institute for Environment and Sustainability Digital Earth and Reference Data Unit www.jrc.ec.europa.eu. Serving society Stimulating innovation Supporting legislation. O utline. INSPIRE Data Themes

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(3) Data scope in INSPIRE

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  1. (3) Data scope in INSPIRE • Vlado Cetl European Commission Joint Research Centre Institute for Environment and Sustainability Digital Earth and Reference Data Unit www.jrc.ec.europa.eu Serving societyStimulating innovationSupporting legislation

  2. Outline • INSPIRE Data Themes • Data Interoperability • Data Specifications • Examples

  3. INSPIRE components

  4. Annex I Coordinate reference systems Geographical grid systems Geographical names Administrative units Addresses Cadastral parcels Transport networks Hydrography Protected sites Annex II Elevation Land cover Ortho-imagery Geology INSPIRE data themes Annex III • Statistical units • Buildings • Soil • Land use • Human health and safety • Utility and governmental services • Environmental monitoring facilities • Production and industrial facilities • Agricultural and aquaculture facilities • Population distribution – demography • Area management/ restriction/regulation zones & reporting units • Natural risk zones • Atmospheric conditions • Meteorological geographical features • Oceanographic geographical features • Sea regions • Bio-geographical regions • Habitats and biotopes • Species distribution • Energy Resources • Mineral resources

  5. INSPIRE data themes • The INSPIRE working group on Reference Data and Metadata (RDM) (2002): Reference Data and Metadata Position Paper • Provide an unambiguous location for a user's information • Enable the merging of data from various sources • Provide a context to allow others to better understand the information that is being presented • INSPIRE Environmental Thematic Coordination Group (2002): Environmental thematic user needs - Position Paper • a review of policy documents including existing and planned environmental legislation; • a review of papers available from existing formal and informal working groups; • consultation with stakeholders in different environmental policy areas • expert judgement based on the experience of EEA staff and EIONET

  6. Data interoperability The starting point … • Access to spatial data in various ways • User has to deal with interpreting heterogeneous data in different formats, identify, extract and post-process the data he needs  lack of interoperability user user ... ... dataset dataset dataset

  7. Data interoperability ... and what INSPIRE is aiming at user user • Provide access to spatial data via network services and according to a harmonised data specification to achieveinteroperability of data • Datasets used in Member States may stay as they are • Data or service providers have to provide a transformation between their internal data model and the harmonised data specification ... ... Network Service Network Service Network Service dataset dataset dataset

  8. INSPIRE IRs vs. TG

  9. Why common Data Specifications? • Member States should make available data within the scope of INSPIRE using • the same spatial object types (and definitions) • the same attributes (and definitions, types, code lists) and relationships to other types, e.g. BuildingHeight, BuildingSize • a common encoding (GML application schemas) • common portrayal rules • This facilitates interoperability and pan-European/cross-border applications (e.g. information systems, reporting systems, forecasting models)

  10. DS Development - Stepwise Approach • Development of conceptual framework and specification methodology (by Data Specification Drafting Team) • DS-D 2.3 Definition of Annex Themes and Scope • DS-D 2.5 Generic Conceptual Model (GCM) • DS-D 2.6 Methodology for Specification Development • DS-D 2.7 Guidelines for Encoding • Development of data specifications for each spatial data theme (by different Thematic Working Group) based on the • conceptual framework • common specification development methodology • and on the INSPIRE roadmap • Preparation of the Implementing Rules based on data specifications (by the Commission)

  11. Data interoperability – standards stack

  12. Data interoperability – standards stack

  13. Data interoperability – Stakeholders • Thematic working groups – 19 TWGs for Annex II&III • TWG Facilitators • TWG Editors • Domain experts • EC INSPIRE Team (DG ENV, DG JRC, DG ESTAT) • Technical coordination = JRC INSPIRE team • Data Specifications Drafting Team (DS DT) • Stakeholders • Legally mandated organisations (LMOs) • Spatial data interest communities (SDICs)

  14. Finding the appropriate level of interoperability

  15. Conceptual Framework • To provide a repeatable data specification development methodology and general provisions for the data specification process, which is valid for all spatial data themes • The GCM is using a set of interoperability elements

  16. TG & IR

  17. IR & TG development cycle

  18. IR & DS development cycle

  19. Cross-theme data interoperability Reporting Waste SD:Species distribution EL:Elevation PD: Population Distribution PRTR SEVESO TN:Transport networks Urban Planning Waste Management Plans Environmental Impact Assessment Risk Management … ER:Energy Resources PF:Production and industrial facilities US: Utilities and Governmental Services (Waste Management) AF:Agricultural and aquaculture facilities SO:Soil BU:Buildings AM:Area management/ restriction/ regulation zones & reporting units HB:Habitats and biotopes

  20. Key pillars of data interoperability Harmonised vocabularies Conceptual data models Encoding Registers • conceptual models independent of concrete encodings • standard encoding: GML, but also possible to derive other encodings (e.g. based on RDF) • to overcome interoperability issues caused by free-text and/or multi-lingual content • allow additional terms from local vocabularies • objects types, properties & relationships • cross-domain harmonization • based on a common modelling framework • managed in a common UML repository • provide unique and persistent identifiers for reference to resources • allow their consistent management and versioning

  21. Key pillars of data interoperability Harmonised vocabularies Conceptual data models Encoding Registers • conceptual models independent of concrete encodings • standard encoding: GML, but also possible to derive other encodings (e.g. based on RDF) • to overcome interoperability issues caused by free-text and/or multi-lingual content • allow additional terms from local vocabularies • objects types, properties & relationships • cross-domain harmonization • based on a common modelling framework • managed in a common UML repository • provide unique and persistent identifiers for reference to resources • allow their consistent management and versioning described in INSPIRE Conceptual Framework documents D2.9: O&M Guidelines D2.7: Guidelines for Encoding D2.6:Methodology for Specification Development D2.5: Generic Conceptual Model D2.10.3: Common data models

  22. How to read the data specifications Foreword General Executive Summary Theme-specific Executive Summary 1. Scope 2. Overview (incl. 2.2 informal description) 3. Specification scopes 4. Identification information 5. Data content and structure 5.2 Basic notions 5.3 – 5.x Application schemas (incl. UML diagrams and feature catalogues) 6. Reference Systems

  23. How to read the data specifications 7. Data Quality 7.1 DQ Elements 7.2 Minimum DQ requirements and recommendations 8. Metadata 8.1 Additional requirements and recommendations for MD elements defined in the MD Regulation 8.2 MD Elements for interoperability 8.3 Recommended theme-specific MD elements 9. Delivery (incl. Encodings) 10. Data Capture 11. Portrayal (incl. layers, styles)

  24. How to read the data specifications Annex A: Abstract Test Suite Annex B: Use cases Annex C: Code list values Other Annexes (e.g. examples)

  25. How to read the data specifications

  26. Data specification thematic extensions INSPIRE data application schemas + +GeoSciML INSPIRE Annex III Themes INSPIRE Data specifications contain 138 Use cases + CityGML

  27. UML class diagram: example INSPIRE UML class diagramfor administrative units

  28. AU CP EL … INSPIRE Data specifications - examples

  29. More information • INSPIRE • http://inspire.jrc.ec.europa.eu/ • INSPIRE Data Specifications • Overview • http://inspire.jrc.ec.europa.eu/index.cfm/pageid/2 • Data models • http://inspire.jrc.ec.europa.eu/index.cfm/pageid/2/list/datamodels • Schemas • http://inspire.ec.europa.eu/schemas/

  30. Vlado Cetl vlado.cetl@jrc.ec.europa.eu http://inspire.jrc.ec.europa.eu/ Thank you for your attention!

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