1. Report from the drafting team
TWG Statistical Units and Population Distribution / Demography
GISCO
10. – 11. March 2011
Pieter Bresters - Udo Maack TWG Statistical Units / Population Distribution

2. Content INSPIRE TWG SU-PD Data Specification Road map Issues
Your contribution

3. INSPIRE
Infrastructure for Spatial Information in the European Community
European regulation / project
Better dissemination spatial data in Europe
34 themes

4. INSPIRE Annex themes and TWG’s
Themes, Annex I
Coordinate reference systems Geographical grid systems Geographical names Administrative units Cadastral parcels Addresses Transport networks Hydrography Protected sites
Themes, Annex III
Statistical units Population distribution – demography Buildings Soil Land use Human health and safety Utility and Government services Environmental monitoring facilities Production and industrial facilities Agricultural and aquaculture facilities Area mgmt./restriction/regulation zones & reporting units Natural risk zones Atmospheric conditions Meteorological geographical features Oceanographic geographical features Sea regions Energy resources Mineral resources Bio-geographical regions Habitats and biotopes Species distribution
Themes, Annex II
Elevation
Land cover
Orthoimagery
Geology

5. INSPIRE Architecture
Network
services
Metadata
SpatialData Sets

6. Example This is the Dutch case!
We need Data specifications to define a
harmonised model
for the publishing and exchange of data
Main goal of TWG SU-PD

7. TWG Statistical Units – Population Distribution TWG SU-PD
Udo, DE
Pieter, NL
Miro, PL
Marie, SE
Jean-Luc, FR
Alina, former Facil.
Julien, JRC
Susanne Schnorr-Bäcker, DE; Ian Coady, UK, Roberto Bianchini, IT

8. Content INSPIRE TWG SU-PD Data Specification Road map Issues
Your contribution

9. Data Specifications
Objectives (from Inspire directive article 6 and 8):
Definitions
Classification of spatial objects
Georeferencing
Unique identification
Relationships
Key attributes
Temporal dimension
Updates

10. Data Specifications They define: application schema (UML)
spatial object types, attributes, attribute values and relationships between spatial objects
rules for unique identifiers
theme specific metadata
portrayal rules
rules for unique identifiers for spatial objects, derived from national identifiers
Metadata: including data quality
portrayal rules: Simple and for the INSPIRE Viewing Service

11. Data Specifications They do NOT define: collection criteria;
scale and resolution,
minimum quality requirements
They do NOT define:
Because INSPIRE aims at interoperability of data as it exist, and must not mandate collection of new data.
Hopefully the dataspecification will influence the further development of the underlying systems to enhance the harmony

12. Data Specifications Framework documents D2.3 Scope of Themes
D2.5 Generic Conceptual Model
Rules for Application Schema
elements that are common to several themes
D2.7 Encoding
GML
D2.6 Methodology for the development of data specifications
established by the Drafting Team Data Specifications
Guidance for the Thematic Working Groups (TWGs)

13. Data Specification development
Use case development
Step-wise methodology
As-is analysis
Identification of user requirements and spatial object types
Gap analysis
Data specification development
Implementation, testing and validation
Cost-benefit analysis

14. Data Specification development
Step 1: Use Case Development
Use case development
responsibility of the Consolidation Team
As-is analysis
Identification of user requirements and spatial object types
Major sources are:
European environmental policies
user requirements survey
SDIC/LMO reference material
EU-funded initiatives and projects
Stress on EU-funded initiatives and projects: Geostat and SDMX
Gap analysis
Data specification development
Implementation, testing and validation
Cost-benefit analysis

15. Data Specification development
Step 6: Data specification development next round
Result of version 2.0: Data product specification
with application schema
Explain we left out step 2 until 5

16. Data Specification development
Step 6: Data specification development second round
Responsible party: TWG
Result: Data product specification
with application schema

17. Data Specification development
Use case development
Step 7: Implementation, test and validation, cost-benefit analysis
As-is analysis
Identification of user requirements and spatial object types
responsibility of the Consolidation Team.
review by SDICs and LMOs
test under real world conditions (by selected projects, SDICs and LMOs)
costs and benefits as required by Article 7(2) of the Directive
We come back to this later when we discuss your contribution!
Gap analysis
Data specification development
1. TWG considers the comments
from review and test 2. final round of harmonisation between themes Result: Data specification version 3.0
Implementation, testing and validation
Cost-benefit analysis

18. Content INSPIRE TWG SU-PD Data Specification Road map Issues
Your contribution

19. Roadmap Apr – Oct 2010 TWG DT DS SDICs/ LMOs MS CT/JRC EC DGs Phase 1
Data specs
(DS) v1
DT DS
Review
DS v1
CT/JRC
Prepare
documents & tools
SDICs/
LMOs
Provide User
requirements &
reference material MS
EC DGs
Provide User
requirements &
reference material

20. Roadmap Apr – Oct 2010 Nov 2010 – Dec 2011 TWG DT DS SDICs/ LMOs
Phase 1
Phase 2
TWG
Data specs
(DS) v1
Data specs
(DS) v2
Comment
resolution
DT DS
Review
DS v1
CT/JRC
Prepare
documents & tools
SDICs/
LMOs
Provide User
requirements &
reference material
July –
Oct
Consultation
and
Testing MS
EC DGs
Provide User
requirements &
reference material

21. Roadmap Apr – Oct 2010 Nov 2010 – Dec 2011 Dec 2011 – Jan 2012 TWG
Phase 1
Phase 2
Phase 3
TWG
Data specs
(DS) v1
Data specs
(DS) v2
Comment
resolution
Data specs
(DS) v3
Release
candidate (RC)
Data specs
(DS) v3
DT DS
Review
DS v3
Review
DS v1
CT/JRC
Prepare
documents & tools
Stress out their role in testing and reviewing
Consultation
and
Testing
SDICs/
LMOs
Provide User
requirements &
reference material MS
EC DGs
Provide User
requirements &
reference material

22. Roadmap Sep 2011 – Jan 2012 Feb – May 2012 TWG DT DS SDICs/ LMOs MS
Phase 3
Phase 4
TWG
Data specs
(DS) v3
Release
candidate (RC)
Data specs
(DS) v3
Review
IR v1
DT DS
Review
DS v3
CT/JRC
Implementing
Rule (IR) v1
IR v2
IR v3
IR v4
SDICs/
LMOs MS MS
Feedback
INSPIRE
Committee
vote
EC DGs
Inter-service
consultation

23. Content INSPIRE TWG SU-PD Data Specification Road map Issues
Your contribution

24. Issues INSPIRE Data specifications INSPIRE Framework-Documents
ISO-Norms
OGC-Standards

25. Open Issues
GEOSTAT - Project
Census - Hub

26. Open Issues Actual discussions: Time / Changes over Time
Services real time or static
Where does PD end? Fixed / flexible

27. Open Issues 2. Search for services or data in the registry / catalogue
SDI Catalogue
1. Data and service registration
3. Catalogue returns result (URL)
find
publish
Data- and Service provider
4. Request to the service
User / application
bind
5. Service returns the map or data

28. SDMX IT Architecture (Hub mode)
National Statistical Institute
[Data consumer, Eurostat Census Hub, National Statistical Institute (en haut à droite), National Statistical Institute (en bas à droite), Petite page web dans Eurostat Census Hub] A hub is based on the concept of data sharing. Data is not previously collected and stored in a central repository but is directly accessed from the data providers’ databases through the central hub upon request of a data consumer.
[Petite page web dans data consumer] The data consumer browses the Hub [Grande page web] to define the dataset of interest [Grande page web] [Document dans data consumer] [Flèche data consumer vers Eurostat Census Hub] via its structural metadata. [Document dans Eurostat Census Hub][Flèche data consumer vers Eurostat Census Hub]
The Hub converts [SDMX Query message (<query:DataWhere>)] the user’s request into an SDMX Query message [SDMX Query message (<query:DataWhere>)] [Document dans Eurostat Census Hub] [Flèche Eurostat Census Hub vers National Statistical Institute (en haut à droite)] and sends it to an NSI Web Service. [Document dans rectangle du National Statistical Institute (en haut à droite)]
The NSI Web Service converts the SDMX Query in a set of SQL queries [Changement de couleur du document dans rectangle du National Statistical Institute (en haut à droite)], fetches the data [Document dans DB du National Statistical Institute (en haut à droite) + changement couleur message] from the NSI database [Document dans rectangle du National Statistical Institute (en haut à droite)], dynamically constructs the SDMX-ML file [Changement de couleur du document dans rectangle du National Statistical Institute (en haut à droite)] and sends it back to the hub. [Document dans Eurostat Census Hub]
[Même animation que précédemment mais entre Eurostat Census Hub et National Statistical Institute (en bas à droite) ] The same steps are repeated if the user has requested data from different NSIs. [ Même animation que précédemment mais entre Eurostat Census Hub et National Statistical Institute (en bas à droite)]
[Replacer deux documents dans Eurostat Census Hub par un document plus gros] The Hub assembles all the SDMX-ML files received form the NSIs and presents the result to the user [Gros documents data consumer] in a readable format.
Eurostat Census
Hub
National Statistical Institute
Eurostat Unit B5 – Statistical Information Technologies SDMX Training for Statisticians – March 2010 28 28

29. Open Issues 1. Data and service registration publish
SDI Catalogue
2. Search for services or data in the registry / catalogue
1. Data and service registration
3a. Catalogue redirects to entry for selection
publish
Statistical-Data
Base
Data- and Service provider
find
3b. Statistical Data Base returns URL of the selection process
4. Request to the service
5. Service returns the map or data
User / application
bind

30. Content INSPIRE TWG SU-PD Data Specification Road map Issues
Your contribution

31. Your contributions Be aware! you are affected by INSPIRE
Keep contact with your national contact point
Participate:
Register as SDIC / LMO
Review
Testing

32. Conclusions We described our TWG work We have shown some issues
Your contribution is vital!

33. ?
Thank You!