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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