Chair: Claudia Junker
Room: S4A Mariacki
Time: 09:00 - 10:30
Date: 28 June
|Title: <<< Key elements of a Quality Management System:Example of Georgia (institutional set-up of a quality framework, quality culture) >>>
The Adapted global assessment mission conducted jointly by Eurostat and UN ECE Statistical Division in 2012 recommended an introduction of quality management system at Geostat and the use of the ESS quality parameters for monitoring the quality of statistical outputs. In May 2014 a Methodology and Quality Management Unit (MQMU) was created at Geostat. The main area for this unit is to handle quality issues within all areas of Geostat activities. It also includes quality culture, naturally emphasizing continuous improvement of processes and results in satisfied customers and improved image of Geostat. Creating a full-time unit dedicated to quality issues was a key institutional element for the systematic monitoring of quality. Based on the desk research on international standards the EU model as a priority for Quality Assurance Framework based on the ESS Code of Practice (CoP) has been selected. The quality component within the cooperation project with Statistics Sweden gave Geostat a good foundation for future work in that area. MQMU has taken some active steps in monitoring and improving quality. Quality mapping was conducted for all processes, resulting in prepared reports and recommendations; standard routine descriptions based on GSBPM has been prepared; quality reports (based on ESMS) writing process has started; several policy documents and guidelines on statistical data confidentiality and revision have been prepared. In order to facilitate the quality culture spread through the whole statistical system an interagency working group on quality issues has been created. Training courses on CoP and quality assurance issues for other producers of statistics and data providers have been conducted. The paper will talk about the challenges and problems experienced in setting-up the MQMU and in spreading a quality culture in Geostat as well as some results of this work.
|Title: <<< Implementation of a quality management system in the NSI of Serbia – success stories and future plans >>>
During the last several years, and especially after the Light peer review exercise (2011), Statistical Office of the Republic of Serbia (SORS) made significant efforts in order to introduce quality management system. SORS is highly devoted to quality, and this could be seen from various conducted activities. Information and knowledge about different quality issues are continuously being spread among all employees through intranet portal on quality and different educational activities. User and staff satisfaction surveys have already being implemented for certain number of years. Documentation system for quality management, based on ISO 9001 standard, has been introduced, as well as a system for producing reference metadata and quality reports (RZSMETA). Standardization of the production process started in SORS many years ago, initialized by introduction of Integrated Survey Technology (IST). Completely designed and developed in SORS, IST has become regionally recognized data integration concept that supports several phases of statistical production process (build, collect, process and analyze). It is a challenge now how to efficiently use this comparative advantage in order to support building general metadata system as a precondition for further improvement of statistical process and product quality. The paper will describe how these different elements of a quality management system were implemented and what problems/solutions were identified/found by the Serbian statistical office.
|Daniel Roash |
|Title: <<< Implementing Quality Management within the ICBS and the Israeli NSS: Progress and Challenges >>>
Quality of statistics is a catch-all phrase for a number of concepts, entailing production, standardization, documentation and publication of statistics. The Israel Central Bureau of Statistics (ICBS) is in the process of trying to advance quality in all of these fronts. First and foremost, quality in production involves persuasion of universal implementation of a Code of Practice. Standardization requires uniformity of definitions and documentation across offices that disseminate statistics. Although every producer of official statistics in Israel is required by law to consult with the National Statistician, in practice this has heretofore not been religiously applied. This talk will present past efforts and present state of affairs regarding the endeavor of the ICBS to streamline statistics in Israel and bring it up to modern quality standards. The talk will describe the efforts expended to obtain the cooperation of disparate governmental agencies as well as internal efforts to modernize procedures in the ICBS.
|Title: <<< Challenges of applying the model of total quality management in the Statistical Office of Montenegro >>>
Special Session: Institutional framework for and implementation of Quality management systems in the enlargement and European Neighborhood Policy (ENP) countries
Recognizing the experience of Statistical Office of Montenegro in harmonizing national statistical systems with the standards of European statistical system, which are related to the institutional and methodological harmonization, the hypothesis of this paper is that for the successful selection and implementation of a model of quality, of great importance is first to understand each aspect of statistical process, and after that the implementation of model that will make this statistical process more qualitative. Therefore, the aim of this paper is to analyze the link between the models of education of the employees in the Statistical Office in order to understand the statistical processes in context of EU integrations, and then explain why and how the TQM model is implemented in the Statistical Office of Montenegro and thus conclude with the key challenges of Montenegro as an enlargement country in the implementation of TQM.
|Title: <<< Key elements of a quality management system in the statistical office of Ukraine >>>
In 2010 the State Statistical Service of Ukraine (SSSU) approved National principles of the activities of state statistics bodies, harmonized with the European Statistics Code of Practice and adopted the Generic statistical business process model (GSBPM) as a platform for describing the process of statistical production. At the initial stage, descriptions of all statistical surveys were standardized in a unified form. The process approach to monitoring and evaluating performance has been introduced since 2012. An annual inventory of statistical surveys was conducted identifying problems in detail at the level of the survey, defining solution and future tasks for all statistical surveys. During the inventory, proposals and ideas from functional and territorial bodies, suggestions from respondents expressed during the filling in of the questionnaires as well as from users are taken into account. To monitor activities, the SSSU uses four self-assessment questionnaires:
1. Self-assessment questionnaire based on the DESAP (Development of a Self-Assessment Program);
2. Self-assessment questionnaire on improving statistical supervision (for the heads of statistical supervision);
3. Self-assessment questionnaire on the results of the activities of the territorial bodies;
4. Self-assessment questionnaire on the functioning of the processes of statistical production (for authorized employees, responsible for implementing procedures and operations).
In 2013-2015, the SSSU started introducing a process approach into planning. A statistical survey programme is prepared based on the process model, which allows standardizing the description of procedures and operations performed within statistical surveys. In order to unify approaches to the preparation of quality reports, the SSSU in 2014 developed Recommendations on the preparation of a standard report on the quality of statistical surveillance, which complies with the ESS Quality Report 2009, and now all statistical surveys are covered by standard quality reports.