BAIGORRI Antonio – Eurostat, Unit B1: Quality; Classifications Q2010 EUROPEAN CONFERENCE ON QUALITY IN STATISTICS Terminology relating to the Implementation of the Vision on the Production Method of EU Statistics

Q2010 Conference: Terminology relating to the Implementation of the Vision 2 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.

Q2010 Conference: Terminology relating to the Implementation of the Vision 3 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.

Q2010 Conference: Terminology relating to the Implementation of the Vision 4 The context of the vision - Are we facing the vicious circle? Burden New demands Resources Old demands

Q2010 Conference: Terminology relating to the Implementation of the Vision 5 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.

Q2010 Conference: Terminology relating to the Implementation of the Vision 6 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.

Q2010 Conference: Terminology relating to the Implementation of the Vision 7 Terminology COM 404: Integrated models

Q2010 Conference: Terminology relating to the Implementation of the Vision 8 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.

Q2010 Conference: Terminology relating to the Implementation of the Vision 9 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 actions Collection 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 statistics Statistics which are relevant at EU level only should ideally be produced only at European level. Collaborative networks Synergies to be developed within the European Statistical System (ESS) by the sharing of expertise, tools and results or by fostering specialisation on specific tasks.

Q2010 Conference: Terminology relating to the Implementation of the Vision 10 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).

Q2010 Conference: Terminology relating to the Implementation of the Vision 11 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.

Q2010 Conference: Terminology relating to the Implementation of the Vision 12 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

Q2010 Conference: Terminology relating to the Implementation of the Vision 13 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).

Q2010 Conference: Terminology relating to the Implementation of the Vision 14 Thank you for your attention