1. ESS-VIP ICT Project
Task Force Meeting, Luxembourg, 5 March 2013

2. The ESS is facing new challenges
Inside the ESS, the statistical systems have to interact to cover new cross-cutting dimensions (i.e. climate change, sustainable development)
New ways of working need to be developed (including the use of common standards)
There is an increased demand to reduce burden on respondents
Resources constraints and budget cuts pushing us to improve performance
The ESS started to organise itself:
COM (2009) 404 – A Vision for the next decade
One of the main objectives:
Industrialisation of the production of statistics
Inside the ESS the statistical systems have to interact to cover new dimensions like Sustainable development, Climate change or green growth.
A lot of information is available on the Internet, data collected by administrative bodies are getting more accessible. This is driving us to find new ways of working.
The new generations were born with Internet and therefore have a different approach to information.
There is as well an increased demand to reduce the burden on respondents, enterprises and citizens.
Last but not least resource constraints and budget cuts are pushing us to improve performance.
In order to tackle these challenges; the ESS started to organize itself:
The Communication – A Vision for the next decade was adopted in 2009
One of its main objective is the industrialisation and standardisation of the production of statistics.

3. COM (2009) 404
"There are considerable challenges of a technological and methodological nature. Standardisation and integration of formerly separated production processes will demand great efforts and an effective change management. Re-engineering of a production system with a group of around 30 producers will only be feasible in a stepwise approach with intensive collaboration."

4. Monitoring progress towards green growth
The foundations and the indicator architecture
Measuring the progress of societies OECD work and Global project – GDP and beyond
Monitoring progress towards Green Growth OECD indicators
UNEP indicators
EU indicators
Review & selection:
Policy relevance
Analytical soundness
Mesaurability
SEEA
OECD indicators and statistical databases
Economic performance
National accounts
Productivity
Environmental performance
Material flows and resource productivity
Science& Technology
Innovation
Entrepreneur-ship
Development aid
Investment
Employment
Education
Energy
Agriculture
Trade
Transport
Member countries 4

5. Measurement framework
Indicator groups and topics
The environmental and resource productivity of the economy
Carbon and energy productivity
Resource productivity: materials, nutrients, water
Multi-factor productivity
The natural asset base
Renewable stocks: water, forest, fish resources
Non-renewable stocks: mineral resources
Biodiversity and ecosystems
The environmental dimension of quality of life
Environmental health and risks
Environmental services and amenities
Economic opportunities and policy responses
Technology and innovation
Environmental goods & services
International financial flows
Prices and transfers
Skills and training
Regulations and management approaches
Socio-economic context and characteristics of growth
Economic growth and structure
Productivity and trade
Labour markets, education and income
Socio-demographic patterns 1 2 3 4 5

6. The stovepipe model
The communication is proposing a more integrated approach for the production of statistics
Most of the production processes today are following the stovepipe model including ICT statistics.
In this model, each domain is managed separately:
The NSIs are pushing the data via the single entry point.
This model has its advantages:
The solution is tailor made for the domain and therefore usually optimised
It also allows for a quick adaptation of minor changes
But there are also disadvantages:
The data collection between the different domains is done in an uncoordinated way
There is no real adaptation to phenomena covering multiple dimension
There are a lot of redundancies in the development, production and disseminations processes.

7. To-be-state Users European Statistics - Dissemination
Interoperability standards & common metadata
Shared Services
Storage
Production
Dissemination …
European Statistics – Production Processes
NSI
ESTAT
European Statistical System
STAT
Other Statistical Actors
ESS Secure Bus
European Statistics - Dissemination
Primary Collection
Administrative Sources - Surveys – Official Sources – Private Sources
Users
Other Partners
OECD
IMF

8. It proposes a renewed collaborative approach within the ESS
ESS VIP PROGRAMME
Combines concrete business cases with the development of horizontal activities towards the target system
It proposes a renewed collaborative approach within the ESS
To optimise available resources
Streamline developments
Enhance the flexibility of the system to react to new requirements.

9. ESS VIPS
SIMSTAT
Single Market Statistics – Exchange of micro-data on Intra-EU trade in goods.
ESBRs
European System of Statistical Business Registers
ICT
Web infrastructure for ICT statistics using the experience of the Census Hub.
PRIX/TRANS
Price and Transport statistics
NAPS
National Accounts Production System
ADMIN
Administrative Data Sources
VIPV
Validation

10. Cross Cuttings Technical Projects
Standards/ Information Model
Identification, adoption and support of standards business processes, information, methodological solutions
ESDEN (European Statistical Data Exchange Network)
The building or upgrade of a secure exchange infrastructure fir the exchange of confidential and non-confidential data among ESS partners
Shared Services
ESS service oriented platform and related governance mechanisms
Information Infrastructure / Data warehouses
Storing, processing and redistributing shared data and metadata across ESS partners

11. Governance ……… Eurostat ESS Eurostat Core Group DIME group DG ESSC
Elaboration of the programme and co-ordination
Eurostat Core Group
DIME group DG
Programme ownership and decision making
ESSC
Supporting group PG
Board of Directors
ITDG
BSDG
DMES
DIMESA
DSS
RDG
EA extended team
EA core team
Entreprise Architecture and cross-cutting technical projects
Legal
Frameworks
Financial HR
Domain-oriented ESS-VIPs
ESS-VIP1
ESS-VIP2
ESS-VIPn
………
PGM coordinator
Programme Co-ordination
Other DG
Eurostat
ESS

12. Scope and Business Case of the ICT Project
Annual Surveys on the Use of Information and Communication Technologies (ICT) in enterprises and by individuals
ICT Project will tackle both (enterprise and household) surveys and their respective production and dissemination processes
In a narrow sense, the purpose of ICT is to reengineer the production and dissemination processes of ICT statistics
In a broader sense, ICT should generalise the proposed solutions to establish a generic approach to statistical data production and at ESS level
The Census Hub experience was presented by Albrecht during the Working Group of March

13. ICT: Step by step approach – Phase I (2013)
Detailed analysis and documentation of the processes using a BPM tool (ARIS)
Consider only DISSEMINATION of aggregate data from Enterprise survey
Carry out a methodological study to reflect on data models, data transmission, processing and data confidentiality of aggregate and micro-data
Set up a prototype to test the three different SDMX transmission modes

14. ICT: Phase II
Phase II
The overall output of this phase (T+2 = 2014) would be a prototype for a production system of ICT statistics based on aggregate data, which transposes data processing steps performed at Eurostat level to the shared service based infrastructure.
Methodological guidelines for generalisation of the approach to similar processes.
Analysis and methodological work would precede any implementation work beyond the ICT pilot.

15. ICT: Phases III and IV Phase III Phase IV
At the end of this phase (T+3 years = 2015), a new production system for the Enterprise survey will be in production.
Phase IV
At the end of this phase (T+5 years = 2017), a full production system for the Enterprise and household surveys fully SDMX compliant will be in production.
As for the previous phases, the experience of the use case would allow the creation of methodological guidelines for the generalisation of the approach.

16. Conclusion This project has a medium/long term perspective.
The project will build on developments that were made in the context of the Census Hub and reuse an infrastructure (SDMX-RI) already installed in most of the countries.
The scope of the project is European Statistics. There will minimal no impact of the production processes of the ESS partners and on their legacy systems.
Enhanced standardisation will also enable quicker policy relevant analysis and cross-domain analysis.