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

www.jrc.ec.europa.eu

Serving societyStimulating innovationSupporting legislation

Expanding horizons: INSPIRE in the health and the environment domain

Vanda Lima, Jiri Hradec

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 !!

INSPIRE Directive

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

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

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

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

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

Package: Administrative Units

Administrative Boundary

Administrative Unit

Condominium

Administrative Units (AU)

Layers for the data theme AU

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

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

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

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

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

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

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

What INSPIRE already has in common with H/E

Data discovery and increased availability

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.

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

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)

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

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