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9:00-9:05 Welcome and introductionsVanda Nunes de Lima, DG JRC
9:05-09:15 Introduction to the role of INSPIRE and JRC and Digital Earth & Reference Data Unit in the health, safety and the environment domainsJiri Hradec, DG JRC
9:15-9:40 EU Health Information System: Linking environmental geodatawith health data and added value for policy and researchStefan Schreck, DG SANCO
9:40-10:00 Risk assessment toolboxes and spatial dimensionHai-Ying Liu, NILU (NO)
10:00-10:30 INSPIRE data, tools and people available to health communityRound table and discussion
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www.jrc.ec.europa.eu
Serving societyStimulating innovationSupporting legislation
Expanding horizons: INSPIRE in the health and the environment domain
Vanda Lima, Jiri Hradec
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Why Europe needs a spatial data infrastructure (SDI)?• Natural Disasters and as well as
other environmental phenomena do not stop at national borders!
• 20% of the EU citizens (115 million) live within50 Km from a border
• 70% of all fresh water bodies in Europe are part of a trans-boundary river basin !!
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INSPIRE Directive
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Cross-sector data interoperability
EL:Elevation
BU:BuildingsSO:Soil
PF:Production and industrial facilities
AF:Agricultural and aquaculture facilities
ER:Energy Resources
HB:Habitats and biotopes
SD:Species distribution
AM:Area management/ restriction/ regulation zones & reporting units
PD: Population Distribution
US: Utilities and Governmental Services (Waste Management)
Urban Planning
Waste Management Plans
Environmental Impact Assessment
Risk Management
…
PRTR
SEVESO
Waste
INSPIRE dataData from
other sectors
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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
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Conceptual data models Registers
• objects types, properties & relationships
• cross-domain harmonization
• based on a common modellingframework
• managed in a common UML repository
Harmonised vocabularies
• achieve better interoperability than free-text and/or multi-lingual content
• allow additional terms from local vocabularies
• 400 code lists & almost 5000 values in central register
Encoding
• conceptual models independent of concrete encodings
• standard encoding: GML, but also possible to derive other encodings (e.g. based on RDF)
• provide unique and persistent identifiers for reference to resources
• allow their consistent management and versioning
Key pillars of data interoperability
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INSPIRE thematic scopeAnnex I1. Coordinate reference
systems2. Geographical grid systems3. Geographical names4. Administrative units5. Addresses6. Cadastral parcels7. Transport networks8. Hydrography9. Protected sites
Annex II1. Elevation2. Land cover3. Ortho-imagery4. Geology
Annex III1. Statistical units2. Buildings3. Soil4. Land use5. Human health and safety6. Utility and governmental
services7. Environmental monitoring
facilities8. Production and industrial
facilities9. Agricultural and
aquaculture facilities10.Population distribution –
demography
11. Area management/ restriction/regulation zones & reporting units
12. Natural risk zones13. Atmospheric conditions14. Meteorological
geographical features15. Oceanographic
geographical features16. Sea regions17. Bio-geographical regions18. Habitats and biotopes19. Species distribution20. Energy Resources21. Mineral resources
Implementation 2012/2017
Implementation 2015/2020
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Administrative Units (AU)
• Definition Units of administration, dividing areas where Member
States have and/or exercise jurisdictional rights, for local, regional and national governance, separated by administrative boundaries
• Overview description Each national territory is divided into administrative
units. The administrative units are separated by administrative boundaries. Administrative units and administrative boundaries form a partition of space. According to user requirements it can be distinguished between land and (coastal) water parts of administrative units
Data specifications examples
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Package: Administrative Units
Administrative Boundary
Administrative Unit
Condominium
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Administrative Units (AU)
Layers for the data theme AU
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Statistical Units (SU)
• Definition: Unit for dissemination or use of statistical information. In: The unit + the way to refer to it Out: The statistical data
• Statistical grids• Vector statistical units
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Geographical Grid Systems (GGS)
• Definition: Harmonised multi-resolution grid with a common point of origin and standardisedlocation and size of grid cells.
• INSPIRE data specification do not provide a data model for all grids, but describe a candidate grid instance projected to be used for Pan-European applications.
• Workshop on European ReferenceGrids in Ispra, 27-29 October 2003 http://www.ec-gis.org/sdi/publist/pdfs/
annoni-etal2003eur.pdf
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Population distribution (PD)
• Definition: Geographical distribution of people, including population characteristics and activity levels, aggregated by grid, region, administrative unit or other analytical unit
• Spatial representation fully based on statistical units theme no new spatial feature introduced in PD
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Health statistical data
• Based on statistical units( SU) Diseases General health status Biomarker Health services NB: Health care
services US(GovernmentalService)
• Based on ICD and COD standards
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Health determinants
• Raw measurements based on ISO 19103
• Models for noise, air and water quality (based on EIONET)
• Can be extended for other health determinants
• Aggregated measures based on statistical units
• Continuous coverages based on ISO 19123
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Safety (not in IR)
• Accidents happening somewhere Traffic accidents Natural hazard accidents Hazardous material related events Fire or explosion Etc.
• Location: Can be another INSPIRE object (AU, etc.) or on a network
• Hierarchical structure (major accident composed of other accidents)
• Chain of consequences• Description: Date of event, Gravity, casualities
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Additional models
• Base types for referring to documents and legal
acts thematic identifiers
• Common base model for activity complexes used in AF, PF, US
• Zoned geographical grid
• Maritime units and boundaries
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What INSPIRE already has in common with H/E
Data discovery and increased availability
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Take home messages
• INSPIRE provides a comprehensive framework for interoperability of spatial data inventory data & service sharing data & service discovery network services data interoperability
• INSPIRE data can be combined with other data to enable cross-sector & cross-border “location-aware” analyses
• INSPIRE is a highly scalable infrastructure waiting to be just used by other Commission services.
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Where INSPIRE can be of use to DG SANCO
• INSPIRE-enabled registers of DG SANCO Data Inventory system individual registers, e.g. pesticide register
• INSPIRE-compliant reporting Animal and Plant Health Package Data collection by the EFSA, CHAFEA, EMA, ECDC, CPVO
• Risk assessment and modelling incorporating (also environmental) spatial data and services.
• Geoportals, geoapplications, visualisations
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Where INSPIRE can be of use to DG SANCO
• Innovation and co-development (MIDAS, IPCHem, WFD/WISE)
• Demand driven MS networking• Risk assessment ready data discovery and
availability• Interoperable data across different domains
(statistics/environment/national governmentalservices…)
• Example of ECDC (disease vectors)
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What JRC IES DERDU (H.06) seeks
• Identification of DG SANCO needs and requirements regarding spatial data interoperability Reporting, data publishing, applications
• Sharing of best practices for data interoperability/harmonisation exercises
• DG SANCO spatial data in INSPIRE infrastructure if possible
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www.jrc.ec.europa.eu
Serving societyStimulating innovationSupporting legislation
Invitation to a training and action planner
Introduction to INSPIRE
17 June 2014 14:00 auditorium 7