1. WISEds & Proposed implementation plan
WISE workshop
November 12th, 2008

2. Introduction - context
WISE implementation plan 2010
WISE as a distributed system
Automated data transfer
...
INSPIRE
Roadmap up to 2019
SEIS
Building blocks
WISE, INSPIRE

3. Distributed system Benefits Drawbacks Distributed workload
Distributed responsibilities
Re-use of data and software components
data management at the level where it is created
Drawbacks
Management/coordination
Large number of critical components that can fale
Complex data aggregation

4. WISEds: fundamentals Multiple dataflows IN/OUT
Obligatory reporting: WFD, BWD, UWWD, etc
Voluntary reporting: SoE
IN/OUT

5. WISEds: fundamentals flow types Supported Not supported
Frequency/mechanism
Supported
Type A, D
Type A -> service oriented
Type D -> reportnet
Not supported
Type B, C

6. WISEds: funadmentals
Use case driven

7. WISEds: Architecture
Level 1: business

8. WISEds: Architecture
Level 2: logical components

9. WISEds Architecture
Level 3: Technical

10. Overview implementation
Step by step approach
Participatory approach MS/EU/others
Attention thematic/technical
4 phases
Phase P: pilot phase -> 05/2009
Phase I: Priority I data flows -> 2011
Phase II: Priority II data flows -> 2013
Phase III: priority III data flows -> 2018

11. Phase P Pilot Type A art 8 data WISE data model WISE web services
Includes candidate MS
WISE data model
Exercise to draft data entities -> logical and physical data model
Identify overlaps between directives/reporting requirements
WISE web services
Beta of WMS service for art3, art8 data
Beta of WFS service for art3, art8 data

12. Phase I Define PI data flows Directives PI WISE services PI
Differentiate reporting elements to type A, D
Define WISE data model
Setup QA/QC rules
Implement flow A directives P1
Modify REPORTNET to use WISE QA/QC engine
WISE services PI
WMS based on WISE GIS reference datasets e.g. large rivers, lakes… (WFD art3 & 5 data)
WFS based on WISE GIS reference datasets e.g. data large rivers, lakes…

13. Phase II Data flows PI Define PII data flows Data flows PII
Report via predefined data flow
Define PII data flows
Data flows PII
See actions PI Phase I
WISE services PII
Specific services for WISE community
Development components to facilitate integration WISE services

14. Phase III Data flows PI and PII Define PIII data flows Data flows PIII
Report via predefined data flow
Define PIII data flows
Data flows PIII
See actions PI Phase I
WISE services operational

15. Critical MS contributions (proposal)
Phase P:
Request for candidates WISE test programme
Report according current guidelines + new methods (on specific requests)
Test services
Evaluate A, D flow differentiation
Evaluate QA/QC mechanism
Evaluate services

16. Critical MS contributions (proposal)
Phase I, II & III
To do:
Decide on A, D flow differentiation
QA/QC rules approval
Evaluate/adapt reporting sheets & schemas
Start reporting over flow A
Benefits:
Datasets available through WFS, WMS
Reduced work load through
Reporting streamlining
Quick feedback on data quality
Automatic reporting/evaluation

17. Summary WISEds is ongoing 4 implementation phases
Implemented and operational by 2018
Member states
Strong collaboration MS – EU required
to define tools that work at both sites
Agree on A, D reporting
Reporting sheets and schemas
Mutual benefits through easier data exchange