Danube Reference Data and Service
Infrastructure (DRDSI)Flagship Cluster
Alessandro AnnoniDigital Earth and Reference Data Unit
Institute for Environment and Sustainability
Develop information
infrastructures
Foster multi-disciplinary Interoperability
Engage the public
in scientific processes
Communicate science
to the Public
Vertical Priorities
key challenges for the Scientific Support to the Danube Strategy
..environmental phenomena and disasters do not stop at the border
70% of all fresh water bodies in Europe are part of a trans-boundary river basin !! Existing Legislation (e.g. Water Framework Directive) propose the river catchment as the territorial management Unit
Hence need to develop a shared data and service infrastructure
Data Infrastructure
Like a railways infrastructure …
A Data Infrastructure is as way to:•Support sound policy making•Increasing efficiency of various stakeholders by sharing information and processes•Contribute to open Public Sector Information increasing transparency in decision making, and new services, innovation, and jobs.
Framework of data, technology, policies, standards, and human resources, necessary to facilitate the sharing and using of information.
Country
Official and national Languages
Austria German, Slovene (official in Carinthia), Croatian and HungBelgium Dutch 60%, French 40%, German less than 1% Bulgaria Bulgarian Cyprus Greek, Turkish, English Czech Republic Czech (cestina) Denmark Danish (dansk) Estonia Estonian (eesti keel) Finland Finnish (suomi) 93.4%, Swedish 5.9% France French (français) Germany German (Deutsch) Greece Greek (elliniká, the Koine-Demotic version) Hungary Hungarian (magyar) Ireland Irish (Gaeilge), English (generally used), Italy Italian (italiano) Latvia Latvian (latviesu valoda) Lithuania Lithuanian (lietuviu kalba) Luxembourg Luxembourgish (LÎtzebuergesch), French and German Malta Maltese (Malti) Netherlands Dutch (Nederlands, official language), Frisian (official languPoland Polish (polski) Portugal Portuguese (português) Romania Romanian (romana) Slovakia Slovak (slovensky jazyk) Slovenia Slovenian (slovenski jezik) Spain Spanish (español - the Castilian version) 74%, Catalan 17%Sweden Swedish (svenska) Switzerland German 63.7%, French 19.2%, Italian 7.6%, Romansch 0.6United Kingdom English
23 official languages so far
Building a European Spatial Data Infrastructure is a complex exercise… Europe is a patchwork of several countries with different
traditions, cultures and socio-economic models…This is reflected in terms of their geo-spatial management choices
Different sea levels
16.08.2001
Various Map
projections
INSPIRE Directive 2007/02/ECThe INSPIRE Directive lays down general rules to establish an Infrastructure for Spatial Information in Europe for the purposes of Community environmental policies and policies or activities which may have an impact on the environment
This infrastructure shall build upon infrastructures for spatial information established and operated by the Member States
Existing spatial data held by or on behalf of a public authorities
INSPIRE Components1. Metadata2. Interoperability of spatial data sets and
services3. Network services (discovery, view,
download, transformation and invoke)• made available through the European geo-
portal4. Data and Service sharing (policy)5. Coordination and measures for Monitoring
& Reporting
INSPIRE is a Framework DirectiveDetailed technical provisions for the issues above are laid down in Implementing Rules
Legally Mandated Organizations (LMOs)
Spatial Data Interest Communities (SDIC)
Drafting Teams (DT)
Citizens
Thematic Working Groups (TWG)
Public and Private Organizations
Policy Makers
Scientific Community
INSPIRE Stakeholders
Interoperability of data –... and what INSPIRE is aiming at
... ...
NetworkService
NetworkService
NetworkService
• 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 stay as they are
! Data or service providers have to provide a transformation between their internal data model and the harmonised data specificationdataset dataset dataset
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user user
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 • common portrayal rules
This facilitates pan-European/cross-border applications
Cross-border
20% of the EU citizens (115 million) live within 50 Km from a border.
Example of INSPIRE definitions
Hydrography
• Hydrographic elements, including marine areas and all other water bodies and items related to them, including river basins and sub-basins.
• Where appropriate, according to the definitions set out in Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy (2) and in the form of networks.
Example INSPIRE data specification: Hydrography (HY) – The World
Basin
Catchment
SpringOrSeep
Rapids
DamOrWeir
Lock
Watercourse StandingWater
HydroPowerPlant
PumpingStation
Pipe
Embankment
Shore
LandWaterBoundary
Crossing
Wetland
OceanRegion
Example: HY – Mapping
WatercourseNode
WatercourseLink
Example: HY – Network
WFDCoastalWater
WFDLakeWFDTransitionalWater
WFDRiver
Example: HY – Reporting
WatercourseNode
WatercourseLink
Basin
Catchment
SpringOrSeep
Rapids
DamOrWeir
Lock
Watercourse StandingWater
HydroPowerPlant
PumpingStation
Pipe
Embankment
Shore
LandWaterBoundary
Crossing
Wetland
WFDCoastalWater
WFDLake
OceanRegion
WFDTransitionalWater
WFDRiver
Example: HY – complete Data Specification
Annex I1. Coordinate reference
systems2. Geographical grid
systems3. Geographical names4. Administrative units5. Addresses 6. Cadastral parcels7. Transport networks8. Hydrography9. Protected sites
Annex II1. Elevation2. Land cover3. Ortho-imagery4. Geology
INSPIRE data themes
Annex III
1. Statistical units2. Buildings3. Soil4. Land use5. Human health and
safety6. Utility and
governmental services
7. Environmental monitoring facilities
8. Production and industrial facilities
9. Agricultural and aquaculture facilities
10. 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
Our idea !
• Maximise benefits from MS investments in INSPIRE implementation (data harmonization and interoperability efforts)
• Extend INSPIRE data models to other policy areas and/or applications to ensure multidisciplinary-interoperability
• Help non EU countries to be compliant with INSPIRE and/or facilitating interoperability through brokering services
• Make a better use of ICT technologies and support innovation and modernisation of Public Services and Policy Making
• Lead by example providing on line access to JRC data• Develop and operate a collaborative platform to connect
distributed facilities and people• ..and possibly engage society
Ingredients• Shared Governance and Ownership Involving all relevant stakeholders
• Building a community of stakeholders to share data, knowledge and ideas
• JRC Knowledge base (data, models,..) for the Danube Region• Close link with Digital Agenda for Europe (ICT standardisation,
OpenData, PSI, …) and Digital Science• Collaborative Platform and • Distributed Facilities
….. resulting in …
•Big data management and analysis•Simulation, sensors technologies
New Research methods
•Open access to publications and underlining data•Transparency of research methods and materials
New access to research
•Data sharing based collaboration•e-Infrastructures and ERA•Social network and media for research
Collaboration in research
•Engaging citizens into scientific processes•Society included in scientific discussions
Engagement of society
A relevant tool for innovation and new projects formulation
Danube RDSI – Development stages
Design and Development (1st release) • DRSDI Portal focussing on Data Discovery, View and Access
Inventory of JRC Data and setting up the DRDSI Data Catalogue• relevant JRC data fully documented
Access to JRC Data• through the DRDSI Portal
Inventory of external sources and collaboration agreements• New data ingestion (relevant data fully documented and accessible)
Design and Development (2nd release) - EVOLUTION• Link with other Danube Clusters• New data and functional requirements• Citizen Observatory
DRDSI : Background Not just another geoportal, but an innovative scientific platform fit to user
needs and providing a flexible solution for scientific support of informed decision
making
Frontend to scientific information (data, models, projects, documents, others)
with focus on the Danube Region
Aligned to the Priority areas of the Danube strategy
Based on lessons learned from the INSPIRE implementation process at JRC
Regional approach, i.e. platform reflecting actual needs of the users in the
Danube region
Architecture(s) Starting Point: Extensive use of existing
components developed buy JRC Reference Data and Service Infrastructure (RDSI) Access to trusted base of reference data Already operational at JRC
Community Image Data portal (CID) Access to online archive of satellite imagery
INSPIRE geoportal– Access to Member State data infrastructures
Evolution Point: Develop new functionalities to adapt to Danube Strategy needs
2320 March 2013
Reference data as input to modelling andImpact Assessment
JRC Reference Information productsModels
Why? •Comparability of results•Traceability of data and model results•Quality ensured inputs •…
Land CoverAdministrative boundariesPopulation, GDP, …
Forest Fire Risk Maps, Crop Yield Forecast,…
Qproduct = Qdata + Qmodel
JRC Reference Data and Service Infrastructure (RDSI)
RDSIData flows
RDSI helps to optimize data flows
RDSI STRUCTURE
Entry point to create and publish MD Inspire compliant of RD
Discovery tool for Reference data
Access point to link data and models through modelling workflows
Collaborative platform to comment and trace resources
Community Image Data portal (CID) -online archive of satellite imagery
Contains satellite imagery• Central catalogue to search data• Web services to access data • File based access for internal use
Currently: approx. 55 TB of data• LR/MR images (km, 100’s m) 150.000 • HR images (5 - 50 m) 20.000• VHR (< 5 m) 7.6 M km²
Licensing:• use of INSPIRE GEO/GEOSS definitions• EULA released and being implemented
The Community Image Data portal (CID):
http://cidportal.jrc.ec.europa.eu/imagearchive
DRDSI portal
Prototype running with initial functionalities•Discover data•View data•Access and download data
Iterative Development based on mock-up simulating user experience
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2nd Release of the Danube DRDSI
Interconnected Collaborative platformfor all
Citizen observatory Frontend for Sensor networks in the
Danube region Utilization and scientific use of data from
social media (Big Data) Support INSPIRE implementation in the
Region
Next Steps
• Refine requirements and architectural choices
• Identify relevant stakeholders (organisations, projects and services) and build a connected community
• Agree on data sharing (incl. licensing) conditions
• Adjust the vision/ambition to the right balance between user needs, contributions and feasibility
• Turn proposed contributions into concrete projects
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• Which data to be considered• Academic / Public / Private / all ?
• Which users• Scientific community only / Public Authorities / SMEs / Citizens / all?
• Funding possibilities• Multiple sources
• Interlinkages with on going initiatives (EU and National Level)• Copernicus, SEIS, …• OpenData (Policies and OpenDataPortal(s))• Research Data Alliance• VGI initiatives: e.g. Wikidata and Openstreetmaps interlinkage• ….
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Open issues
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