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EDF2013: Selected Talk: Michael Lutz: Data interoperability across sectors and borders – INSPIRE and beyond
 

EDF2013: Selected Talk: Michael Lutz: Data interoperability across sectors and borders – INSPIRE and beyond

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Selected Talk by Michael Lutz, at the European Data Forum 2013, 10 April 2013 in Dublin, Ireland: Data interoperability across sectors and borders – INSPIRE and beyond

Selected Talk by Michael Lutz, at the European Data Forum 2013, 10 April 2013 in Dublin, Ireland: Data interoperability across sectors and borders – INSPIRE and beyond

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  • Build community around the platform
  • Build community around the platformplans for a study on the INSPIRE/open data/eGov state of play in EU, AAA study, creation of core vocabularies, creation of the framework for new vocabularies we are discussing about

EDF2013: Selected Talk: Michael Lutz: Data interoperability across sectors and borders – INSPIRE and beyond EDF2013: Selected Talk: Michael Lutz: Data interoperability across sectors and borders – INSPIRE and beyond Presentation Transcript

  • Data interoperability across sectors and borders – INSPIRE and beyond Michael Lutz, Andrea Perego, Robin S. Smith European Data Forum 2013, 9-10 April 2013, Dublin www.jrc.ec.europa.eu Serving society Stimulating innovation Supporting legislation
  • Why Europe needs a spatial datainfrastructure (SDI)?• Natural Disasters and as well as other environmental phenomena do not stop at national borders!• 20% of the EU citizens (115 million) live within 50 Km from a border • 70% of all fresh water bodies in Europe are part of a trans-boundary river basin !!
  • Building a European SDI is complex • Europe is a patchwork of several countries with different traditions, cultures and socio- economic models• This is reflected in the different ways in which geo- spatial data is managed
  • INSPIRE in a nutshell• Comprehensive data inventory (Monitoring & Reporting)• Facilitate data discovery through standardised discovery services & metadata (Network Services & Metadata)• Data sharing (Data and Service Sharing)• Facilitate data access by allowing standardised view, download and transformation (Network Services)• Facilitate data use and interoperability by adopting common cross-domain models to exchange data (Data Interoperability)
  • INSPIRE thematic scope Annex I Annex III 1. Coordinate reference 1. Statistical units 11. Area management/ systems 2. Buildings restriction/regulation 2. Geographical grid systems zones & reporting units 3. Soil 3. Geographical names 12. Natural risk zones 4. Land use 4. Administrative units 13. Atmospheric conditions 5. Human health and safety 5. Addresses 14. Meteorological 6. Utility and governmental 6. Cadastral parcels geographical features services 7. Transport networks 15. Oceanographic 7. Environmental monitoring 8. Hydrography geographical features facilities 9. Protected sites 16. Sea regions 8. Production and industrial facilities 17. Bio-geographical regions Annex II 9. Agricultural and 18. Habitats and biotopes 1. Elevation aquaculture facilities 19. Species distribution 2. Land cover 3. Ortho-imagery 10.Population distribution – 20. Energy Resources 4. Geology demography 21. Mineral resources **Breaking news: Annex II+III amendment approved by INSPIRE Committee on 8/4 ***
  • A collaborative effort• Transparency and inclusiveness• Stakeholder consultations• Support to Member States on the implementation• Extend INSPIRE to and ensure consistency of different policy domains• Promote INSPIRE in international standardisation
  • Data interoperability The starting point … user user • 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 dataset dataset dataset
  • Data interoperability ... and what INSPIRE is user user aiming at • Provide access to spatial data via ... ... network services and according to a harmonised data specification to achieve interoperability of data ! Datasets used in Member States may Network Network Network stay as they are Service Service Service ! Data or service providers have to provide a transformation between their internal data model and the harmonised data specification dataset dataset dataset
  • Cross-sector data interoperability Data from INSPIRE data other sectors SD:Species distributionPD: Population EL:Elevation Waste Distribution PRTR SEVESO ER:Energy Urban Planning US: Utilities and PF:Production and Resources Governmental Services (Waste Management) industrial facilities Waste Management AF:Agricultural and Plans aquaculture facilities Environmental Impact SO:Soil Assessment BU:Buildings AM:Area management/ restriction/ Risk Management HB:Habitats and biotopes regulation zones & reporting units …
  • Key pillars of data interoperability Conceptual Harmonised Encoding Registers data models vocabularies• objects types, • conceptual • to overcome • provide properties & models interoperability unique and relationships independent issues caused persistent• cross-domain of concrete by free-text identifiers for harmonization encodings and/or multi- reference to • standard lingual content resources• based on a common encoding: • allow additional • allow their modelling GML, but also terms from consistent framework possible to local management derive other vocabularies and• managed in a encodings versioning common UML (e.g. based repository on RDF)
  • Key pillars of data interoperability Conceptual Harmonised Encoding Registers data models vocabularies • objects types, • conceptual • to overcome • providedescribed in INSPIRE Conceptual Frameworkunique and properties & models interoperability documents relationships independent issues caused persistent • cross-domain of concrete by free-text identifiers for harmonization encodings and/or multi- reference to • standard lingual content resources • based on a common encoding: • allow additional • allow their modelling GML, but also terms from consistent framework possible to local management derive other vocabularies and • managed in a encodings versioning common UMLD2.6:Methodology (e.g. based repository D2.5: Generic on RDF) D2.7: Guidelines for Specification D2.9: O&M D2.10.3: Common Conceptual Model Development for Encoding Guidelines data models
  • Conclusions• Through INSPIRE, public sector data will become available and interoperable over the next years for 34 spatial data themes• INSPIRE provides a comprehensive framework for interoperability of spatial data• Methods and infrastructure components can be re- used for data interoperability in other sectors• INSPIRE data can be combined with other data to enable cross-sector & cross-border “location- aware” analyses
  • Next steps• Pilots for e-Reporting (e.g. air quality)  Using INSPIRE for enabling access to comparable near-real-time air quality information• Re-usable INSPIRE reference platform ARe3NA  Identify gaps and help sharing re-usable components – e.g. INSPIRE registry (soon available on ISA’s JoinUp platform)• EU Location Framework EULF  Develop a strategic framework of standards, case studies , guidelines to realise the potential of location information in Europe, based on INSPIRE  facilitating a more aligned approach using location information in different policy areas – e.g. Integrated Transport, Smart Cities
  • Thank you … Questions?• INSPIRE: http://inspire.jrc.ec.europa.eu/• ISA programme: http://ec.europa.eu/isa/  EULF: http://ec.europa.eu/isa/actions/02- interoperability-architecture/2- 13action_en.htm  ARe3NA: http://joinup.ec.europa.eu/community/are3na/description Join us at the INSPIRE Conference in Florence 23-27 June 2013http://inspire.jrc.ec.europa.eu/events/conferences/inspire_2013/