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1 Status of INSPIRE and Status of INSPIRE and Outlooks for FP7 Outlooks for FP7 Anders Friis-Christensen Spatial Data Infrastructures Unit, EC DG Joint Research Center, Italy

1 Status of INSPIRE and Outlooks for FP7 Anders Friis-Christensen Spatial Data Infrastructures Unit, EC DG Joint Research Center, Italy

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Page 1: 1 Status of INSPIRE and Outlooks for FP7 Anders Friis-Christensen Spatial Data Infrastructures Unit, EC DG Joint Research Center, Italy

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Status of INSPIRE andStatus of INSPIRE andOutlooks for FP7Outlooks for FP7

Anders Friis-Christensen

Spatial Data Infrastructures Unit,

EC DG Joint Research Center, Italy

Page 2: 1 Status of INSPIRE and Outlooks for FP7 Anders Friis-Christensen Spatial Data Infrastructures Unit, EC DG Joint Research Center, Italy

2EuroGeoSurveys – 11 September 2006

DG Joint Research CentreDG Joint Research Centre

• Mission: to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of European Union policies.

• The JRC functions as a reference centre of science and technology for the Union.

EU

Commission Parliament Council …

DG AGRI DG INFSO …

• Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national.

• 7 institutes in 5 countries, 2300 people

Page 3: 1 Status of INSPIRE and Outlooks for FP7 Anders Friis-Christensen Spatial Data Infrastructures Unit, EC DG Joint Research Center, Italy

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OutlineOutline

• INSPIRE – Aims and status– Drafting teams developments

• JRC GEO involvement• JRC FP7• Research Issues

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INSPIREINSPIRE

• A directive is a legal instrument agreed by the Council and the European Parliament from a proposal of the Commission. It binds the Member States on What is to be achieved, but leaves them the ability to define through national legislation How to get there

• The objective of INSPIRE is to lay down general rules for the establishment of an infrastructure for spatial information in Europe

• The purpose is to overcome existing problems regarding the availability, quality, organisation, accessibility and sharing of spatial information, and thus support better environmental policies and policies that affect the environment

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INSPIRE political processINSPIRE political process

• Proposal adopted by the Commission in 2004 based on input of experts from Member States, public consultation, and impact assessment

• Parliament strongly in favour in first reading (2005). Some amendments introduced broadly acceptable to EC

• Council agreed unanimously a common position in 2005 in favour of the principles, but introduced a number of limitations to data access, sharing and viewing

• Both Parliament in second reading (2006) and EC do not agree with these limitations

• Compromised solution between Council and Parliament being sought at the present time. Hopefully agreement will be reached by the end of the year

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Status of INSPIRE - Metadata DT (1)Status of INSPIRE - Metadata DT (1)

• Scope Metadata DT:– To detail the INSPIRE requirements for metadata for data and services

such that these can be implemented consistently across Europe

• Implementing Rules:– Is applicable to the functional dimensions discovery, evaluation and use– Is in conformance with European and international standards, current

practices in stakeholder communities and relevant European initiatives

• Priority 2006:– Collect reference material and develop the first draft of requirements

including core metadata elements

• Achievements 2006:– Draft Implementing Rules for discovery, use, and evaluation of metadata

circulated for internal comments– As soon as Directive approved, consultation with SDICs and LMOs can

commence

Page 7: 1 Status of INSPIRE and Outlooks for FP7 Anders Friis-Christensen Spatial Data Infrastructures Unit, EC DG Joint Research Center, Italy

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Status of INSPIRE - Metadata DT (2)Status of INSPIRE - Metadata DT (2)

Level 1

DiscoveryLevel 2

EvaluationMetadata on metadata

Mandatory/Conditional

Mandatory/Conditional

Optional (within an INSPIRE Spatial Data Theme community the possibility exists to make some metadata elements Mandatory or Conditional

Soi

l 1)

Agr

icul

tura

l and

aqu

acul

ture

fac

ilitie

s

Nat

ura

l ris

k zo

nes

Hab

itats

and

bio

tope

s

1) The mentioned INSPIRE Spatial Data Themes are pointed out as examples to give an impression

Clause 5

Clause 7

Conditional

Clause 6

Use Clause 8IR Data specifications

Use of ISO 19115 and ISO 19119

Ensures the needed linked between the expert and the non expert users

Metadata are detailed enough for high level discovery of spatial resources by expert users

Metadata elements needed to evaluate the fitness for use of the spatial resource

Use metadata involves complementary standards such as ISO 19110, ISO 19111, ISO 19117

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Status of INSPIRE – Status of INSPIRE – Data Specification DT (1)Data Specification DT (1)

• Scope Data Specification DT: – Adopt implementing rules laying down the following:

• (a) Harmonised spatial data specifications;

• (b) Arrangements for the exchange of spatial data.

• Priority in 2006: – Creating the foundation for data specifications and developing a

methodology

• Achievements 2006:– Scope and Definition of Annexes

• Requires further analysis of SDIC and LMO material

– Generic Conceptual Model• v.1.0 Deadline September

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Status of INSPIRE – Status of INSPIRE – Data Specification DT (2)Data Specification DT (2)

1.2 Reference model

1. INSPIRE Information Model

1.7 Object referencing modelling

1.6 Coordinate refe-rencing and units model

1.1 INSPIRE Principles

2. Operational components/registers

3. Guidelines & Best Practice

2.2 Terminology

1.3 Application Schemas

2.1 Identifier Management

2.4 Dictionaries

1.8 Data translation model/guidelines

2.3 Feature catalogues 2.5 Conformance

1.4 ISO 19100 Profile

1.5 Multi-lingual text andcultural adaptibility

3.1 Metadata

3.2 Maintenance

3.3 Quality

3.4 Data Transfer

3.5 Derived re-porting & multiple representations

1.9 Portrayal model 3.6 Consistency between data

3.7 Data capturing

1.2 Reference model

1. INSPIRE Information Model

1.7 Object referencing modelling

1.6 Coordinate refe-rencing and units model

1.1 INSPIRE Principles

2. Operational components/registers

3. Guidelines & Best Practice

2.2 Terminology

1.3 Application Schemas

2.1 Identifier Management

2.4 Dictionaries

1.8 Data translation model/guidelines

2.3 Feature catalogues 2.5 Conformance

1.4 ISO 19100 Profile

1.5 Multi-lingual text andcultural adaptibility

3.1 Metadata

3.2 Maintenance

3.3 Quality

3.4 Data Transfer

3.5 Derived re-porting & multiple representations

1.9 Portrayal model 3.6 Consistency between data

3.7 Data capturing

1st version of a Generic Conceptual Model

focuses on the schema level

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Status of INSPIRE – Status of INSPIRE – Network services DT (1)Network services DT (1)

• Scope Network Services DT:– To define functional and non-functional requirements to support

the following functionalities for services: Upload, Download, Discovery, Transformation, Data view, Invoke

• Priority in 2006:– Definition of network services and reference model (within

INSPIRE) based on review of reference material

• Achievements 2006:– Network service definition and reference model– Reference Material analysis

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Status of INSPIRE – Status of INSPIRE – Network services DT (1)Network services DT (1)

MS portals provide (besides a specific client) MS Inspire Services

Reference Model:

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JRC Involvements in GEO ADCJRC Involvements in GEO ADC

• WP 2006 Architecture tasks:– AR-06-02: Produce practical strategic and tactical guidance

document on how to converge disparate systems to a higher degree of collaboration and interoperability under GEOSS including its roadmap and using existing efforts wherever possible

– AR-06-03: Reach consensus on how the GEOSS architecture will link the components of GEOSS and allow for growth potential

– AR-06-05: Initiate development of a publicly accessible clearinghouse, subject to GEOSS interoperability specifications, and including an inventory of existing data and metadata

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JRC Involvements in GEO ADCJRC Involvements in GEO ADC

• WP 2006 Data tasks:– DA-06-04: Facilitate the development, availability and

harmonization of data, metadata, and products commonly required across diverse areas, including base maps, land cover data sets, and socio-economic data

– DA-06-05: Develop a guidance document for basic geographic data (including format, precision, accuracy, etc.), taking into account relevant national, regional and global initiatives

– DA-06-06: Advocate use of existing Spatial Data Infrastructure components where appropriate, including standard protocols and interoperable system interfaces

– DA-06-07: Define a web portal system for access to all Earth observation data, based on existing portals and systems, designed to increase use, quality, and accessibility of existing information, tools, and networks

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JRC and FP7 ObjectivesJRC and FP7 Objectives

• Scientific and technical coordination of the implementation of the INSPIRE Directive

• Execute JRC’s part of INSPIRE action plan• Link in-situ data acquisition and monitoring infrastructures to the SDI

framework of INSPIRE• Technical coordination with initiatives relevant for INSPIRE

– GMES

– GEOSS

• Create the JRC-SDI according to INSPIRE principles and subsequent Implementing Rules

• Support the creation of Environmental Data Centres, ensure their interoperability, and contribute to implementation of the SEIS– Soil, Forest

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Research Issues and ChallengesResearch Issues and Challenges

• Based on work from the DTs and IPs, we have identified some concrete research issues

• Modelling aspects:– Automated generation of metadata– Data update

• Object identifiers• Life cycle rules

– Multiple representation• Consistency among data sets

– Semantic interoperability • Terminology, multilinguality, thesauri for discovery and retrieval, schema mapping…

• Service architectural aspects:– Schema/data transformations

• “on-the-fly” or “static”– Service architecture design– Processing geodata

• Service chaining– Sensor networks

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Concrete Example: Concrete Example: Automated Metadata Generation (1)Automated Metadata Generation (1)

• The problem of metadata:– It is difficult to collect and create

• Requires a lot of manual work

– It is even more difficult to maintain

The next generation metadata institute:The next generation metadata server:

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Concrete Example: Concrete Example: Automated Metadata Generation (2)Automated Metadata Generation (2)

• Possible solutions:– Closer linkage between data and metadata

• Models supporting tightly coupled data and metadata

– Modeling of metadata generation rules– Modeling of consistency rules between data and metadata

• One thing we often forget:– Service metadata and the connection to “traditional” metadata

• Possible solutions:– Unified Information (data) and Service models– Linkage of services and information

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Concrete Example: Concrete Example: Modelling Object Life Cycle RulesModelling Object Life Cycle Rules

Building object

Update

One object new id?One object same id?Two objects same id + new id?

cd System

Class1

Class2

Class3

cd System

Table1 Table2

To a logical level

• Issues:– Rules: When is it a new object

and when is it an update?– Rules: Keeping track of id’s– Express at a conceptual level

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Schema Transformation

Service

Feature AccessService

Feature Access Service

DB representation (Portuguese data)

DB representation (Spain data )

Transformation into common modelcd Data Model

ForestFireRegistration_Common

+ fireID: char+ dateAl: char+ timeAl: char+ timeIn: char+ dateIn: char+ dateEx: char+ timeEx: char+ codeCom: char+ nuts3: char+ nameCom: char+ tba: char+ fba: char+ nfba: char+ cause: char

Europeancommon model

Data in common model

Concrete Example: Service ArchitectureConcrete Example: Service Architecture

Page 20: 1 Status of INSPIRE and Outlooks for FP7 Anders Friis-Christensen Spatial Data Infrastructures Unit, EC DG Joint Research Center, Italy

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Aggregation Service

Aggregation of data (Step 2)

Spatial join -Aggregation function: Count(Counts number of fires within each NUTS unit)

Number of fires

Schema Transformation

Service

Feature Access Service

Nuts data

Data in common model

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Classification of data (Step 4) and rendering of data (Step 5)

Aggregation Service

Classification Service

Classification system

A classification systemdefines a function (ormore) to be applied to data (can be predefined)

MapService

Symbology

A symbology definesrules for how to visualise data (e.g., 3 = red, 2 = orange, 1 = yellow)

Rendered mapwith legend

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Thank you for your attention!Thank you for your attention!

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