Jenny Linnerud, 27/10/2011, Cologne 1

ESSnet CORECommon Reference

Environment

ESSnet workshop in Cologne 27th and 28th of October 2011

Jenny Linnerud, 27/10/2011, Cologne 2

Background

The ESSnet CORE (COmmon Reference

Environment) continues the work of a

previous 10 month ESSnet called CORA

(COmmon Reference Architecture). CORA

produced the definition of an

architectural

model together with proof-of-concept

software prototypes.

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Duration & Participants

The duration of the ESSnet CORE is 10

months (dec 2010 – Jan 2012) and it involves

Istat (Italian National Institute of Statistics) as

coordinator, INSEE (Statistics France), CBS

(Statistics Netherlands) SSB (Statistics

Norway),

INE (Statistics Portugal) and SCB (Statistics

Sweden), as participants.

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Overview of the

presentationProject oriented

1. A brief explanation of objectives to be achieved.

2. What are main achievements/results which prove the benefit of the

ESSnet approach (or show the contrary)

3. What are critical success/fail/hampering factors?

4. What should be the next developments to be launched in the coming

years in the project's area

ESSnet oriented

1. What could contribute to improvement of the functioning of ESSnets

2. Why is the ESSnet the proper organizational form to achieve the proposed objectives

3. How the ESSnet concept can be developed further

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Project oriented

 A brief explanation of objectives to be achieved

• Environment for the definition and

execution of statistical processes

– Definition of a process in terms of

services selected by an available

repository

– Execution of the composed workflow

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Project orientedWhat are main achievements/results which prove the benefit of

the

ESSnet approach (or show the contrary)

CORE goes in the direction of fostering the sharing of tools among

NSIs.

- A tool developed by a specific NSI can be wrapped according

to the extended CORA model (e-CORA) and thus easily integrated

within a statistical process of another NSI.

- Having a single environment for the execution of entire statistical

processes can provide a high level of automation in process execution.

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DeliverablesInformation Model Requirements

Generic statistical information model

Mapping methodology

Selected case studies

Technical Environment Specifications vs1, vs2

Lessons learned on the use of SDMX within data processing

Evaluation grid used to evaluate different process management tools.

Recommendations on process management tools.

Description of CORE implementation in .NET and in Java

CORE implementation in .NET and in Java

Integration Cost Reporting

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Process scenario for

testingSTART

ComputeStrata Statistics

Allocate the Sample

Selectthe Sample

Compute Estimates and Sampling Errors

CalibrateSurvey Data

CollectSurvey Data

Check and CorrectSurvey Data

Store Estimatesand Sampling Errors

Convert toSDMX

STOP

AL

LO

CA

TIO

N

ES

TIM

AT

ION

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Project orientedWhat are critical success/fail/hampering factors?

People from different countries need to work closely together in

order to ensure the achievement of the project’s objectives,

establishing a common language and exchanging knowledge and

expertise.

Risks identified under planning:

1. Withdrawal of a key partner

2. WP/tasks leader changes

3. Project execution risks

- delays and dependencies

4. Agreement risks

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Dependencies

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Project orientedWhat should be the next developments to be launched in the coming

years in the project's area

Scheduled:

• Testing data and service integration issues with concrete implementations

• Delivery a proof-of-concept software prototype of CORE

• Usage of CORE in a representative statistical production process

Possible future work:

• Detailed technical requirements for a professional implementation of CORE

• Professional implementation of CORE

• Usage of CORE in real statistical production processes

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ESSnet oriented

What could contribute to improvement of the

functioning of ESSnets

• Further reduce the administration

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ESSnet orientedWhy is the ESSnet the proper organizational form to achieve

the proposed objectives

Focuses on issues that answer to a European interest:

Stronger cooperation between European NSIs, sharing of solutions and

improvement of existing solutions will result in turn result in more

effective and harmonised statistical processes at the European level.

Starting from the diversity of the ways in which statistics are

produced in the European NSIs, the main focus of CORE is the

implementation of a reference architecture for both the business and

technical aspects of the NSIs’ statistical production.

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ESSnet orientedWhy is the ESSnet the proper organizational form to achieve

the proposed objectives

Cost effectiveness:

ESSnets can build on existing approaches, methods and experiences of

the participating NSIs, who are often already trying to rationalize and

harmonize their statistical processes for internal purposes.

The main objective of CORE is to bring together these efforts, to

produce a common reference environment, with the aim of minimizing

duplications and maximizing cost-effectiveness.

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ESSnet oriented

How the ESSnet concept can be developed

further

• Increase ESSnet training courses

• Continue to have ESSnet workshops

• Improve the possibilities to update the

ESSnet website