BAIGORRI Antonio – Eurostat, Unit B1: Quality; Classifications

Q2010

EUROPEAN CONFERENCEON QUALITY IN STATISTICS

Terminology relating to the Implementation of the Vision on the Production Method of EU Statistics

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Terminology of the Reg. 223/2009 and COM 404/2009

Both documents introduce new concepts or reuse existing well-known concepts in the new context.

The purpose of this paper on terminology is to:

define the new concepts introduced in these two documents• Description/definition• Coments• Examples

clarify the existing ones in the new context

serve as a terminology tool supporting the implementation of the statistical law and the new vision of statistical production.

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Objectives of Reg. 223/2009 and COM 404/2009

Future work of the ESS will be strongly impacted by Reg. 223 and COM 404 aiming the following objectives:

Increase the flexibility of the ESS (and hence its responsiveness to new needs and challenges).

Increase efficiency and cost-effectiveness.

Improve the coherence and comparability of data.

Reduce burden on respondents.

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The context of the vision - Are we facing the vicious circle?

Burden

New demands

Resources

Old demands

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Terminology COM 404:The stovepipe/ augmented stovepipe models

The Vision Communication proposes a full re-engineering of the production method of statistics within the EU, going from a production system often based on numerous parallel processes to an integrated production model.

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Terminology COM 404: Integrated models

Innovative way of producing statistics based on the combination of various data sources in order to streamline the production process.

Horizontal Integration

• Integration across statistical domains at the level of National Statistical Institutes and Eurostat.

Vertical integration

• Integration covering both the national and EU levels.

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Terminology COM 404: Integrated models

Common infrastructure

Entry

EU data compilation

Primary

surveys

Administrative data repositories

Other external sources

Processing

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Terminology COM 404: Warehouse approach

Provides the means to store data once, but use it for multiple purposes.

Treats information as a reusable asset.

Its underlying data model is not specific to a particular

reporting or analytic requirement.

Instead of focusing on a process-oriented design, the

underlying repository design is modelled based on data inter-relationships that are fundamental to the organisation across processes.

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Terminology in Reg. 223/2009

The EU Regulation on European statistics proposes new measures to increase the flexibility of the European Statistical System and hence its responsiveness to new needs and challenges.

The most innovative measures provided for by this Regulation are:

Temporary direct statistical actionsCollection of data that can be implemented by Eurostat to quickly respond to unexpected needs, which are not (yet) covered in the five-year programme.

European approach to statisticsStatistics which are relevant at EU level only should ideally be produced only at European level.

Collaborative networksSynergies to be developed within the European Statistical System (ESS) by the sharing of expertise, tools and results or by fostering specialisation on specific tasks.

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Pyramid of Statistical Information

Closely linked to the Statistical Law and the "Vision document" is:

the maximum re-use of existing information

the development of new aggregation levels (based on existing data sources).

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Pyramid of Statistical Information: Terminology

PRIMARY DATA: Data collected by statistical authorities, via traditional statistical activities (sample surveys, censuses, etc.) for statistical purposes.

SECONDARY DATA: Data collected for administrative purposes but used by statistical authorities for statistical purposes (usually referred to as data from administrative sources).

ACCOUNTING SYSTEMS: Coherent, consistent and integrated set of accounts, balance sheets and tables based on a set of internationally agreed concepts, definitions, classifications and accounting rules.

INDICATOR: An indicator is a summary measure related to a key issue or

phenomenon and derived from a series of observed facts. INDICATOR SET: Multivariate collection of indicators which should cover a

broader field of application or a political area; the selection of the set is based on a model which aims at high quality of the entire set.

COMPOSITE INDICATOR: A composite indicator is formed when individual indicators are combined into a single index, on the basis of an underlying model of the multi-dimensional concept that is being measured.

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Types of Statistical Information

The Annex presents definitions of basic concepts used in the everyday work within the ESS.

By explicitly defining them it is hoped to avoid any ambiguities about their scope and content.

- Statistics- Data- Metadata- Statistical information- Paradata- Microdata- Mesodata- Macrodata

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How to proceed with this terminology

Presentation in Q2010.

Discussions in the Working groups on methodology and metadata.

Dissemination in CODED (Concepts and Definitions Database in the Eurostat Website (RAMON).

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Thank you for your attentionAntonio.Baigorri@ec.europa.eu