1. Policy Group on Statistical Cooperation 30-31 October 2014, Antalya
EUROPEAN CONFERENCE ON QUALITY IN OFFICIAL STATISTICS

2. General Information
Quality conferences were organized to implement the results of the Leadership Group on Quality.
There have been arranged six conferences so far:
Q2001 Stockholm,
Q2004 Mainz,
Q2006 Cardiff,
Q2008 Rome,
Q2010 Helsinki,
Q2012 Athens
The 2014 European conference on quality in statistics organised jointly by Statistics Austria and Eurostat, was held in Vienna in June 2014.
Quality in Official Statistics - a key conference in the European Statistical System (ESS) and is attracting more and more interest in statistical agencies around the world.

3. Objective of the Q2014 Main objectives of Q2014 were to:
Enhance the dissemination of knowledge on emerging questions related to Quality in Official Statistics,
foster and increase the cooperation between users and producers of Official Statistics
exchange of good practices

4. Main topics of the conference:
Governance of the statistical system
peer reviews of the Code of Practice Principles of European Statistics
quality aspects of policy relevant indicators
quality assurance in the implementation of the ESS Vision
Quality Management- a strategic decision to be taken by the top management
Metadata and information technology- The importance of metadata for the assessment and assurance of data quality and developing ‘metadata language'

5. Quality dimensions from different prospective
Policy makers usually attach high importance on timeliness, the sooner the better.
Researchers might care more about coherence and comparability. Importance of accessibility and clarity
A statistical producer care more about accuracy and reliability

6. Implementation of the EFQM Excellence Model in the ICBS
A steering committee for quality and excellence.
A decade ago, the Israel Central Bureau of Statistics decided to adopt the EFQM model. Some internal decisions :
Each department would be defined as an organizational unit.
Each year another department would join the process
Every two years each department would repeated the self-assessment.
The process would be conducted by certified consultants.

7. The Main Benefits and Improvements
Service Level Agreement (SLA): Service Level Agreements were developed for the service units
Vision:
Departmental websites:
Satisfaction surveys:
Documentation:
Sharing knowledge
Integration of new employees
Recognition of employees:
Contribution to the community and environment
Improvement teams

8. Quality assurance framework in Turkish Statistical System
Structural
quality
Adequacy of resources
Statistical confidentility
Impartiality and
objectivity
Process quality
4. Sound methodology
5. Appropriate statistical
procedures
Product quality
User orientation
Accuracy and reliability
Timeliness
Coherence and comparablility
Accessiblility and clarity

9. Sustainable statistical system
SMART
Pillars of SMART
National
quality
standards
Monitor &
Control
Continuous
improvement
Sustainable statistical system

10. Quality Standards in Official Statistics Production
Basic processes of statistics production
Identifying data demand
Preparation
Data collection
Processing
Data Analysis
Dissemination
Optimising statistics

11. Quality Criteria in INSTAT
Relevance of a statistics - the information obtained meets the requirements of the users
Accuracy - measurement errors and biases may occur in statistical surveys, which have to be analyzed, documented and eliminated where possible
Timeliness- up-to-date information
Accessibility and Clarity – availability in the desired form and sufficiently documented as regards concepts and methods.
Comparability - in terms of time and space
Coherence - Data f show the same results for the same questions

12. Lesson learned Long Term commitment by Top Management
Develop and execute management support and leadership programme for top management quality
Using the model described in the session ‘work with quality components’

13. Thank You for Your Attention!