1 core bringing the gsbpm to life! j. linnerud & j.-p. kent

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CORE

Bringing the GSBPM to life!

J. Linnerud & J.-P. Kent

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Main points

1. An ideal development process for a statistical system

2. Why this ideal usually is not met

3. How CORE aims at supporting this ideal development process

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Statistics: How?

• Specify a statistic• Design a process that will

produce this statistic• Build a system that will execute

this process

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What is the product?• Define a statistic– What does it say?

• Measures, dimensions, explanations…– What does it look like?

• Tables, Press release, Analytic paper…– What is the input?

• Population, variables, data sources…– What is the relation between input and

output?• Methods to apply

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Statistics: How?

• Specify a statistic• Design a process that will

produce this statistic• Build a system that will execute

this process

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How to produce the statistic

• Model the data– Input, output, intermediary results

• Specify process steps to apply the chosen statistical methods

• Integrate these steps in a process flow

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Statistics: How?

• Specify a statistic• Design a process that will

produce this statistic• Build a system that will execute

this process

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Let the machine do it

• Implement the data models• Implement the process steps• Implement the process flow

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Why is this approach good? (1)

• Variability vs. stability– Statistical products are specific

• There is a great variety of products• A given product will vary in time

– Statistical processes are generic• The same method can be applied to many products• Process steps implementing methods can be reused• A significant change in the product can be

implemented with some simple changes in some process steps

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Why is this approach good? (2)

• It allows a clean specification of the product– In terms of what it is– In terms of what is used– In terms of what the relation is

between input and output

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• It separates product design from IT– The product is defined in terms of what

it is (and not how it is produced)– The process is defined in terms of what

it does (and not how it is implemented)– Only the system is defined in technical

terms

Why is this approach good? (3)

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• It supports optimalisation of process development– Possibility of developing

standardised, re-usable process steps– Generic process steps are not defined

for an actual statistic, but for use in different statistics

Why is this approach good? (4)

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Main points

1. An ideal development process for a statistical system

2. Why this ideal usually is not met

3. How CORE aims at supporting this ideal development process

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The usual approach

• Statisticians present a project in which product and process are combined

• IT people specify and build a system that creates the product by performing the process

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Why is the usual approach inefficient?

• Complexity• Process & product are tightly coupled

• Rigidity• Maintenance is labour-intensive

• Specificity• It is not easy to devise a generic solution

when developing for a specific product

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Main points

1. An ideal development process for a statistical system

2. Why this ideal usually is not met

3. How CORE aims at supporting this ideal development process

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Promoting the better approach

1. The CORA and CORE projects (Jenny)

2. Bringing the results into practice (Jean-Pierre)

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CORACORA

CORA ESSnet• COmmon Reference Architecture

(CORA)Financed by Eurostat under 2009 Statistical WorkprogrammeCountries involved: it (coordinator), ch, dk, lv, nl, no, seDuration: October 2009 - October 2010

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CORACORA

CORA deliverables• Questionnaire• Set of Requirements• State of the Art• Definition of the Layered Model• Technical Annex• Instruction Manual• Commercial and Legal Foundations for

the Exchange of Software between Statistical Offices

• Requirements Checklist for CORA Tools• Recommendations for CORA Tools

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After CORA … CORE!

COmmon Reference Environment (CORE)Financed by Eurostat under 2010 Statistical WorkprogrammeCountries involved: it (coordinator), fr, nl, no, pt, se Duration: December 2010 - January 2012

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CORE Workpackages• Design of the information model according to

GSBPM and alignment with NSI's information models

• Generic interface design for interconnecting GSBPM sub-processes

• Research workflow solutions for process management

• Implementation library for generic interface and production chain for .NET

• Implementation library for generic interface and production chain for Java

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Practical usage of CORA / CORE

• Modeling a process in terms of services (CORA)

• Classifying services (CORA)• Making services platform-

independent (CORE)

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

CORACORA

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

An example process

• A transport statistic– Input:

• Loading reports• Unloading reports

– Date, time, place, type & quantity goods, type vehicle

– Output:• Monthly transport data

– Same data also used for time series

CORACORA

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

Modeling approach

• Use the CORA space grid

CORACORA

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

Microdata

Macrodata

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

Modeling approach

• Use the CORA space grid• Display statistical services in the

appropriate cells

CORACORA

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

Aggregate

Macroediting

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

Modeling approach

• Use the CORA space grid• Display statistical services in the

appropriate cells• Join services with arrows to show

the dependencies

CORACORA

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

Aggregate

Macroediting

Figures

Time series

Statistic

Population

Unit

Variable

Value

3Build

1Specify Needs

2Design

6Analyse

4Collect

5Process

9Evaluate

7Disseminate

8Archive

Monthly Transport Publication Confidentialty control

Select period data

Integrate data

ArchivePublication data

Archive TimeSeries data

Supply period data

AggregateArchive Statistic data

Macroediting

Microediting ArchiveUnit data

Compute distance

Combine

Archiveobs. vars.

Download

Outlier detection

Error detection

Correct outliers

Correct variables

?

?

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CORACORA

A traditional service

Tool X

Model (X) Model (X)

Script (X)

Input (X) Output (X)

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CORACORAA CORA service

Tool X

Model (X) Model (X)

Script (X)

Input (X) Output (X)

Model (CORA) Model (CORA)

Script (CORA)

CV CV CVCV CV

Input (CORA) Output (CORA)

CV = Convertor

Logging

Tool Y

Model (Y) Model (Y)

Script (Y)

Input (Y) Output (Y)

CV CV CVCV CV