Transcript Slide 1

ESSnet Workshop 2012
Cavour Conference Centre, Rome
3-4 December 2012
Conclusions from
Sessions 1, 2, 3
Rapporteurs:
Donatella Fazio, Istat
Maria Grazia Calza, Istat
Arianna Carciotto, Istat
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SESSION 1: European System of Business Registers (ESBRs)
Chair: A. Liotti, Eurostat Rapporteur: D. Fazio, Istat
4 ESSnet projects
1.EGR (Euro Group Register )(S. Migliardo, Istat)
The project has realized the set up of the European statistical
business register of multinational enterprise groups built up as a
network composed of a central system located at Eurostat and
local systems located in the NSIs participating countries. The EGR
represents a common statistical frame for NSIs and National
Central Banks. (Next project for implementation of EGR -version
2.0 -2012-2013)
2.Profiling (P. Teillet, INSEE)-on going
The project aims at setting up a coherent and consistent
methodology for defining the ‘profiling’ of large and complex
multinational enterprise groups.
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3.Global Value Chains (P. Boegh Nilsen, Statistics Denmark)-on going
The project aims at building up Globalisation Indicators to
measure economic globalisation. The presentation focused on the
implementation of micro data linking methods covering existing
business registers (no increase of response burden)
4.Consistency (G. Garofalo, Istat)
The project aimed at providing a methodological, sustainable and
cost-effective harmonised framework to compare different areas
of business and trade statistics improving horizontal and vertical
consistency.
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•ESS VIP-ESBRs-European System of interoperable statistical
Business Registers (Amerigo Liotti, Eurostat)
Taking into account the work done by the ESSnet projects and in order to
develop the research in an integrated manner the ESS VIP-European
System of interoperable statistical Business Registers Project, has been
presented.
With the main idea to develop statistical business registers across the
European Statistical System into a network of interoperable statistical
Business Registers so that they serve as the backbone for the production of
European businesses statistics the ESS VIP-ESBRs aims at:
-improving consistency and coherence, reducing production costs and
facilitating data integration
-allowing the production of better statistics on globalisation and specialised
statistics on European multinational enterprise groups (MNEs) considering
EGR at the heart of the system
-providing pioneer solutions (micro-data linking, use of administrative data,
secure transmission of confidential data, etc.) that will be available for
other projects (RE-USABILITY)
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The ESS VIP-ESBRs project European System of interoperable statistical
Business Registers will stand on 3 pillars:
-Strengthening the role of national Business Register
-Improving the EGR quality
-Developing IT infrastructure
DURING THE SESSION INTERESTING DISCUSSION ON
-technical and methodological aspects related to the topics of the projects
-how to take into account these aspects in the ESS VIP ESBRs project
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SESSION 2: Shared services in the ESS VIPs
Chair: C. Wirtz, Eurostat Rapporteur: M.G. Calza, Istat
4 ESSnet projects
1. CORE (M. Scannapieco, Istat)
The project (Common Reference Environment) has continued the
work of the previous CORA (Common Reference Architecture)
project and focuses on the IT perspective developing an
environment for the definition and execution of standard statistical
processes. It responds to the need for standardisation and
industrialisation of processes.
2.MEMOBUST (M. Di Zio, Istat)-on going
The objective of the project is to develop a common methodology
for the production of business statistics to be shared among NSIs.
The research brings to the compilation of a Methodological
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Handbook that will be available on the CROS portal.
3.SDC harmonisation (L. Franconi, Istat)
The project aimed at developing a co-operation within the ESS with regard
to Statistical Disclosure Control, in particular:
- harmonisation of microdata release to achieve comparability
-compare strategies for tabular data protection and include the EU dimension in the
process
-study sustainability of software at EU level
4.Multi-mode data collection (DCSS) (K. Blanke, DESTATIS)-on going
The project aims at developing a co-operation within the ESS with regard
to:
- the development of web data collection tools
- the implementation and assessment of the impacts of mixed mode data collection
(CAPI, CATI, CAWI, PAPI) in social statistics
- the provision of methodological guidance on CAWI and further harmonisation of
multi mode data collection in the ESS
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•Shared services in the ESS VIPs (Christine Wirtz, Eurostat)
Taking into account the topics handled by the ESSnets illustrated and in
order to develop the research in an integrated manner the ESS VIP
Shared services cross cutting project has been presented.
The main idea is to put in place an architecture and a related
governance in order to allow sharing of services across processes and
ESS partners. This cross cutting VIP project will support business domain
oriented ESS VIP projects providing one or several services to be shared in
the ESS.
The project is linked with previous ESSnet projects, other projects and
other initiatives. It will develop an ESS framework for building services
and a platform for sharing services.
The new VIP approach will ensure:
-Economies of scale
-Integration
-Reusability and reuse of services
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In the DISCUSSION which took place some elements were pointed
out
ESS VIP Shared Service infrastructure wants to respond to the
needs for
Cooperation
Common effort
Follow up of the results to make information available to all (RE-USABILITY)
Continuous updating of products
Open issue on governance
Ownership of the ESSnet projects results
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SESSION 3: Modernisation of European Statistics and
indicators
Chair: F. Reis, Eurostat Rapporteur: A. Carciotto,Istat
3 ESSnet projects 1 FP7 project
1. MESH, Energy (D. Millard, ONS)-on going
The project deals with the statistics on the use of energy in the residential
sector to monitor policies facing the climate change. Main objectives:
identifying the EU MS users’ needs; providing a global inventory of
practices for the statistics in the residential sector; producing a manual on
the matter; organising a training session for all the users in the MS.
Strong need for an integrated approach to gather data on energy
consumption.
2. Tourism (E. R. Perez, INE)
The “Automated data collection and reporting in accommodation
statistics” project intended to design a common XML file to guarantee the
coherence of the data collected on tourism accommodation statistics with
the aim of increasing the quality of the data, reducing the costs and
improving the timeliness and punctuality of statistics. This approach can
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be extended to non participating countries.
3.Small Area Estimation (S. Falorsi, Istat)
The project has carried on research to develop a framework
enabling the production of SAE for ESS social surveys; to create a
common knowledge on application of small area estimation
methods; to develop criteria to assess the quality of SAE methods;
to make available software tools for SAE
4.The e-Frame FP7 project (M. Signore, Istat)
The European Framework for Measuring Progress is a coordination
and support actions FP7 project in Socio-economic Sciences and
Humanities, chaired by Istat and Statistics Netherlands- started
January 2012. It aims at fostering the on-going debate on the
measurement of well-being and the progress of societies among all
relevant stakeholders, and at creating a European network focused
on the use of social, economic and environmental indicators within
EU policies
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Modernisation of European Social Statistics (Fernando Reis, Eurostat)
The rising importance of social statistics for policy making, the
rising expectations for flexibility and quality of social statistics and
the growth of enabling technologies for producing, storing and
sharing data (with reduced budgets for public spending) need a
new framework for Modernisation of European Social Statistics.
The framework will be based on integration by means of:
-streamlining core social surveys
-statistical data matching
-harmonisation of variables
-multi-mode data collection
-use of administrative data sources
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