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Institutional framework of EFTA Statistical coo= peration=20
=E2=80=A2 The European Free Trade Association (EFTA) is an intergovernme=
ntal organisation for the promotion of free trade and economic integration =
to benefit its four Member States: Iceland, Liechtenstein, Norway and Switz=
erland. Since the beginning of the 90s, EFTA has progressively developed a =
statistical cooperation policy with Eurostat.
=E2=80=A2 For Iceland, Li= echtenstein and Norway, statistical cooperation with Eurostat is provided f= or in the Agreement on the European Economic Area (EEA) which gathers the 3= EFTA countries and the 27 EU Member States into a single market.
=E2= =80=A2 Statistical Cooperation between Switzerland and Eurostat is governed= by a bilateral agreement.
Objective of EFTA Statistical Cooperation=20
The EFTA Statistical Office (ESO) was created as a liaison office betwee= n Eurostat and the EFTA national statistical institutes. ESO's main objecti= ve is to promote the full inclusion of the EFTA States in the European Stat= istical System (ESS), and thus provide harmonised and comparable statistics= supporting the general cooperation process between EFTA and the EU within = and outside the EEA Agreement. The cooperation also entails technical coope= ration programmes with third countries and training of European statisticia= ns. ESO is located on the premises of Eurostat, the Statistical Office of t= he European Union, in Luxembourg.
Theme 8.04 - Management of = legal bases=20
Fields of activities covered by the theme=20
Activities to ensure the application and coherence of statistical legisl= ation, contribution to relevant Commission-wide reporting requirements and = relations with European Parliament and the Council on legislative matters.<= /p>=20
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Ensure an efficient development, production and dissemination =
of European statistics; establish guiding principles for future statistical=
=E2=80=A2 Amending Regulation (EC) No 223/2009 on Europea= n statistics and Commission Decision 97/281/EC on the role of Eurostat.
OECD Enlargement= span>=20
1. Coordinate reviews of the statistical system and statistics of the Ru= ssian Federation in order to assist Council in taking an informed decision = on whether to invite the Russian Federation to accede to the OECD Conventio= n and become a Member. Consolidate information on the Russian Legal and Ins= titutional framework for statistics, collect and review data and metadata f= rom Russian statistical authorities in order to support the examination of = economic and other policies by the OECD Committees.=20
2. Improve and expand the statistical co-operation with the five countri= es participating in the Enhanced Engagement programme (Brazil, India, Indon= esia, China and South Africa). Conduct light assessment reviews of data and= metadata based on a standard set of basic OECD statistical requirements an= d encourage and assist EE countries to bring their statistics in line with = coverage, quality and comparability of OECD member statistics. Coordinate d= ata and metadata collection for Enhanced Engaged countries with other OECD = Directorates.=20
3. Coordinate the development of statistics for G20 countries or other n= on-members of relevance for the organisation.=20
Objectives and outputs=20
This activity is to support the Committee on Statistics in its evaluatio= n of the statistical system and statistics of the Russian Federation, a cou= ntry selected for possible membership in the OECD. To help integrate data f= or the candidate countries and enhanced engagement countries in the Organis= ation's reporting and information systems.=20
The Enlargement Activity will also facilitate exchanges with the "enhanc= ed engagement" (EE) countries in order to improve our understanding of thei= r statistical legal and institutional framework for statistics and their st= atistical programmes, develop specific statistical relationships with each = of the EE countries, and co-ordinate the development of working level stati= stical projects involving EE countries and OECD Members.=20
Non-member countries involved in the activity:=20
Argentina, Brazil, China, India, Indonesia, Russian Federation, Slovenia= , South Africa.=20
Main Developments for 2012=20
General aspects:=20
Co-ordination of the development of statistics for G20 or other new area= s, continue to promote enhanced statistical co-operation with Brazil, China= , India, Indonesia, South Africa and with Argentina and Saudi Arabia as mem= bers of the G20.
=E2=80=A2 Implement the European System of Central Banks's annual statis= tical work programme for European statistics, which focus on the high-prior= ity items identified in the medium-term work programme for the ECB's statis= tical function (2009-2012), as described in the ECB's website.=20
=E2=80=A2 The statistical activities are coordinated by the Statistics C= ommittee of the European System of Central Banks (ESCB) and its working gro= ups on external statistics, euro area accounts, general economic statistics= , government finance statistics, monetary and financial statistics, and sta= tistical information systems as well as the related business coordination g= roups and task forces.=20
=E2=80=A2 Contribute substantially to the work of the Committee on Monet= ary, Financial and Balance of Payments Statistics (CMFB), particularly conc= erning the excessive deficit procedure statistics.=20
=E2=80=A2 Co-ordinate the ESCB statistical activities and cooperate with= Eurostat and other international organisations to improve the quality of E= uropean statistics.=20
=E2=80=A2 Provide statistical support to the European Systemic Risk Boar= d, responsible for macro-prudential oversight of the financial system withi= n the new European financial supervisory architecture established in the Eu= ropean Union up from 1 January 2011.=20
=E2=80=A2 Participate, as member of the Inter-Agency Group on Economic a= nd Financial Statistics in the development and implementation of the Action= Plan on Statistics supported by the finance ministers and central bank gov= ernors of the G20. This action plan contains timetables for the implementat= ion of 20 recommendations on how to address the measurement of risks in the= financial sector, international financial linkages and the vulnerability o= f economies to shocks, as well as the communication of official statistics.==20
=E2=80=A2 Participate in the Irving Fisher Committee on Central Bank Sta= tistics (also as a member of the Executive) in the exchange of views amongs= t central bank economists, statisticians and policy-makers of statistical i= ssues of interest to central banks. Recent activities include data initiati= ves related to financial stability and initiatives to address data gaps rev= ealed by the financial crisis.
Annual European Economic Area (EEA) statistical= programme=20
A specific EEA annual statistical programme is developed every year by t= he EFTA Statistical Office in consultation with the EFTA National Statistic= al Institutes. The EEA annual statistical programme is based on a subset of= , and in parallel with the annual statistical programme elaborated by the E= uropean Commission.=20
Switzerland/EU annual statistical programme=20
A specific annual statistical programme is drawn up every year in the fr= amework of the agreement in the field of statistics between Switzerland and= the EU.
Theme 6.01 - Quality, evalu= ation, statistical coordination and classifications=20
Fields of activities covered by the theme=20
=E2=80=A2 Coordination of quality aspects within the production of =
European statistics and contribute to the revision and extension of the exi=
sting quality framework in the ESS to better fit the requirements laid done=
in Commission Communication on the production method of EU statistics.
= =E2=80=A2 Monitoring and promoting the implementation of the European= Statistics Code of Practice (CoP).
=E2=80=A2 Provision of guideli= nes for the implementation of the ESS quality assurance framework for stati= stical processes and outputs.
=E2=80=A2 Mid term and ex-post evalu= ation of Community Statistical programs.
=E2=80=A2 Update and main= tenance of the Eurostat's metadata server (RAMON), which makes available st= atistical classifications and the relevant correspondence tables, standard = code lists, statistical concepts and definitions, legal acts pertaining to = statistics and methodological manuals.
=E2=80=A2 Development, upda= ting and implementation of a harmonised set of central statistical classifi= cations such as the European Classification of Economic Activities (NACE), = the Statistical Classification of Products by Activities (CPA), the Interna= tional Standard Classification on Occupations (ISCO), the Classification of= Individual Consumption by Purpose (COICOP), the International Standard Cla= ssification of Education (ISCED) and the Combined Nomenclature (CN) of comm= odities and the Geonomenclature of countries for the European Statistical S= ystem.
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Coordinated implementation of ISCED 2011 including the updatin= g of legal acts to the new classification.=20
=E2=80=A2 Manage and disseminate methodological metadata.
=E2=80=A2 = Coordinated implementation of ISCO 08.
=E2=80=A2 Have an ESeC (European= Socio-economic Classification) classification exclusively based on core va= riables to allow for an implementation in all social surveys - Study the po= ssibility of providing more precise results from the LFS for the classifica= tion with non-core existent variables.
=E2=80=A2 Update and maintain th= e CN, if necessary - Intrastat and related products (self-explanatory texts= , correlation tables etc.) as well as the Geonomenclature. Link to the clas= sification for trade in services.
=E2=80=A2 Quality assurance of and pa= rticipation in the preparation of Q2012.
=E2=80=A2 Continue workon the = ESS Quality Assurance Framework, developed by the Sponsorship on Quality. =E2=80=A2 Providing guidance to production units concerning the implemen= tation of ESQRS (ESS Standard for Quality Reports Structure) and ESMS (Euro= -SDMX Metadata Structure) quality reporting guidelines and setting standard= s across the ESS for quality reporting.
=E2=80=A2 Undertake actions aim= ed at improving compliance with the Code of Practice.
=E2=80=A2 Underta= ke a new cycle of quality assessments with production units, based on the e= xperiences and lessons learned from the 2008-2011 cycle.
=E2=80=A2 Repo= rt to the EP and Council describing the evaluation of the CSP 2008-2012 and= recommendation to follow.
Theme 8.03 - Management and= statistical programmes=20
Fields of activities covered by the theme=20
=E2=80=A2 Strategic management;
=E2=80=A2 Management support;
= =E2=80=A2 Internal control;
=E2=80=A2 Annual and multi-annual programme= s;
=E2=80=A2 Administrative simplification and response burden reductio= n.
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Preparation of Annual Activity Report (AAR) and all related is=
sues (e.g. D=C3=A9claration d'Assurance, relations with Court of Auditors, =
synthesis report, ...);
=E2=80=A2 Project and process management suppor= t;
=E2=80=A2 Commission's Statistical Annual Work Programme including t= he priority setting;
=E2=80=A2 Contributions to the Action Programme fo= r reducing administrative burdens in the EU;
=E2=80=A2 Preparation of t= he European Statistical Programme 2013-2017;
=E2=80=A2 Internal Control= Standards Assessment.
The Population Division participates in the activities of the Committee =
for the Coordination of Statistical Activities (CCSA).
The Population D= ivision organizes the annual Coordination Meeting on International Migratio= n. Through this and other mechanisms, dissemination of migration data and m= igration estimates are being discussed and coordinated.
Statistical Programme=20
=E2=80=A2 The Work Programmes of the Interstate Statistical Committee of= the CIS are the main document organizing its activities in the forthcoming= year (the Work Programme of CIS-STAT for 2012).=20
=E2=80=A2 The structure of the mentioned Work Programmes covers the foll= owing kinds of activities: international comparisons programme, metho= dological work, economic work, exchange of experience and training of the p= ersonnel of national statistical services of the CIS, information and publi= shing activities, dissemination of information and information and referenc= e services, improvement of computer technology, cooperation with internatio= nal organizations.=20
=E2=80=A2 Considerable part of the works included in the programmes is c= onnected with the International Comparisons Programme, methodological,= analytical and information and publishing activities and submission of nec= essary information to interstate bodies of the CIS, government and economic= bodies of the Commonwealth, international organizations, mass media and ot= her users. Of high priority in the Work Programme for 2012 are the works co= nnected with international comparisons of the GDP of the CIS countries for = 2011 in the framework of the Global round of ICP.=20
According to the programme of international comparisons in 2012 it = is planned to conduct two meetings of the CIS countries specialists: one me= eting on the issues of verification and reconciliation of data = on the prices for investment commodities-representatives, including co= nstruction objects and another meeting on the issues of verifica= tion and reconciliation of data on the prices for consumer commodities= -representatives purchased by households.=20
The Work Programme for 2012 includes high priority work on the forecast = of production, "visible consumption", imports and exports of selected kinds= of products in the countries of the Commonwealth for 2013 in the condition= s of the free trade zone (jointly with the Executive Committee of the CIS).==20
Envisaged in the Work Programme is a number of works connected with = forecast estimates:=20
1) Improvement of the methodology of forecasting the growth rates of the= main macroeconomic indicators on the basis of new approaches in the field = of forecasting used in the world practice.=20
2) Maintenance of the database for forecast estimates of the main macroe= conomic indicators growth rates by CIS countries.=20
3) Preparation of analytic papers on the following themes:=20
=E2=80=A2 Actual trends of GDP and consumer prices growth in 2011 in the=
Commonwealth countries in comparison with the forecast trends;
=E2=80= =A2 Review of the current economic situation in the world (including CIS co= untries) and preliminary forecasts of development in the neares= t perspectives (according to the materials of international organizat= ions);
=E2=80=A2 Forecast estimates of GDP and consumer prices gr= owth as an average for the world and most important regional amalgamations = of the countries of the world (including CIS countries) for 2012;
=E2= =80=A2 Forecasts of the socio-economic development of the CIS countries in = the nearest several years (according to the materials of mid-term pro= grammes of the development of economy of the CIS countries and forecasts of= CIS-STAT);
=E2=80=A2 Forecast estimates of the rates of ch= anges of main macroeconomic indicators of the CIS countries for the p= eriod 2012-2013.
4) Collection of information for CIS countries on the forecasts of the m= ain indicators for the period 2012-2013, developed by governmental bo= dies of the countries (ministries of economy, finances, central banks, etc.= ), programmes of economy development for mid-term and long-term perspective= and their adjustments during 2012 (from Internet and other sources).= =20
5) Collection of analytic and statistical materials of the UN, IMF, the = World Bank, Asian Development Bank, European Bank for Reconstruction and De= velopment, OECD, Eurostat and other international organizations on the tren= ds of the development of the economy of the world, regional amalgamations a= nd selected countries of the world, on general perspectives of their develo= pment for the coming years, on forecasts of growth rates of the main macroe= conomic indicators of the countries of the world (including CIS countries) = for the period 2012-2013 and on their adjustments during 2012 (from Interne= t and other sources).=20
In pursuance of the decision of the Council of the Heads of Governments = of the CIS of November 19, 2010 on the main target macroeconomi= c indicators of the development of economy of the CIS countries, CIS-STAT c= arries out monitoring of main macroeconomic indicators illustrating so= cio-economic situation, level and dynamics of economic development, de= gree of economic integration of the CIS countries. This work is carried out= each year.=20
Apart from that, the Work Programme includes preparation of the material= s of monitoring indicators of quality of life of population in the Commonwe= alth countries.=20
In 2012 publication of brief results of 2010 round of population censuse= s in the CIS countries will be continued.=20
The Work Programme envisages as well the upgrading of qualification of t= he personnel of the CIS national statistical services on most importa= nt divisions of economic statistics: system of national accounts, statistic= s of prices, finances, balance of payments, etc.=20
In 2012 the work will be continued on the implementation of the pr= oject "Programme of Training of Personnel by CIS-STAT", financed by the Wor= ld Bank. This project is implemented on the basis of Higher School of= Economics.
Statistical Policy=20
=E2=80=A2 The ILO Department of Statistic was established in May 2009, w= hich replaced the former ILO Bureau of Statistics, and is responsible, inte= r alia, for compiling and making available in a timely manner ILO statistic= s on the four pillars of Decent Work. Besides, it is responsible of coordin= ating the international standards setting of labour and decent work statist= ics and for hosting the International Conference of Labour Statisticians. T= he compilation, quality control and dissemination of ILO statistical inform= ation is now centrally managed and coordinated by the Department of Statist= ics. All statistical methodologies and databases carried out by different u= nits within sectors and regions are coordinated by the Department of Statis= tics. All units, regions and sectors are requested to seek technical cleara= nce from the Department of Statistics before disseminating and publishing g= lobal and regional statistical data.=20
=E2=80=A2 The Department defines and implements a statistical capacity-b= uilding programme for the Office and its constituents.=20
=E2=80=A2 The Director of the Department of Statistics serves as the ILO= Chief Statistician and is consulted on all matters of data collection, sta= tistical methodologies and major publications and releases of ILO statistic= al information.
Further implementation of the ECB Statistics Qu= ality framework:=20
=E2=80=A2 Monitor and ensure adherence to the quality assurance procedur= es and quality principles stated in the ECB Statistics Quality Framework (S= QF), which guides the statistical function of the ECB. The SQF is fully in = line with and builds upon the ESCB's public commitment with respect to its = statistical function.=20
=E2=80=A2 Revision analysis for general economic statistics based on a v= intages database to which revision indicators are applied.
Development and Implementat= ion of the OECD Quality Framework=20
To enhance the quality of OECD statistics, to provide a systematic mecha= nism for ongoing identification and resolution of quality problems, to incr= ease the transparency of the processes used by the OECD to assure quality, = to reinforce the political role of the OECD in the context of an informatio= n society.=20
Objectives and outputs=20
The framework focuses on improving the quality of data collected, compil= ed and disseminated by the OECD through an improvement of the Organisation'= s processes and management, though there will be a positive spillover effec= t on the quality of data compiled at national level. The framework is compo= sed of four elements: a definition of quality and its dimensions; a procedu= re for assuring the quality of proposed new statistical activities; a proce= dure for evaluating the quality of existing statistical activities on a reg= ular basis; and internal quality guidelines covering all phases of the stat= istical production process.=20
Main Developments for 2012=20
General aspects:=20
Following feedback from users, the Quality Framework and Review has unde= rgone a review to streamline the process and make the focus more quality or= iented and to include user input.=20
Following agreement of a timetable by the Statistical Directors group an= umber of Quality Reviews of OECD Statistical Activities will be carried out= during 2012.
Data Quality=20
The UIS has made improving data quality a major component of its current= work programme, and systematically measures and reports on a key set of in= dicators aimed to assess the quality of its survey activities and the = content of the international statistical database. In particular, the UIS Q= uality Monitoring and Reporting Framework aligns UIS strategic objectives t= o improve the timeliness and completeness of its data with a key set of per= formance indicators.=20
The Insitute is working to improve the efficiency of its data collection=
and dissemination through the introduction on new statistical tools which =
support these processes more closely.
Priority objectives beyond 2012:=20
=E2=80=A2 Improve the relevance of the current quality reports for all U=
IS surveys;
=E2=80=A2 Improve the transparency of UIS data collection, = processing and dissemination;
=E2=80=A2 Improve statistical systems;
=E2=80=A2 Improve the dissemination of UIS statistical products.
Data Quality Assessment Fra= mework (DQAF)=20
=E2=80=A2 The World Bank has been working with the IMF on the Socio-demo= graphic and Poverty modules of the Data Quality Assessment Framework (DQAF)= . The framework provides countries with a flexible structure for the qualit= ative assessment of various aspects of the statistical environment and infr= astructure in which the data are collected, processed, and disseminated. It= also identifies areas requiring technical assistance. The income poverty a= nd education modules have been completed. Modules for health and population= are under development.
=E2=80=A2 Continue organising training activities on statistics for staf= f of the ECB, the National Central Banks of the European Union and to a lim= ited extent for other central banks. The topics relate to the ECB relevant = statistical fields (e.g. monetary and financial statistics; balance of paym= ents and international investment position statistics; financial accounts; = statistical data exchange and SDMX standards, etc.).
European Statistical Training Programme=20
EFTA attaches great importance to quality and comparability of European = statistics and therefore supports Eurostat in the design and implementation= of an ambitious European Statistical Training Programme (ESTP). In 2012, t= he EFTA Secretariat will fund the organisation of three ESTP courses respec= tively on Geographic Information Systems (Norway), User-friendly disseminat= ion of statistics (Norway), and Data analysis and data modelling (Switzerla= nd). These courses are provided by EFTA National Statistical Institutes and= open for participation of statisticians from EFTA and EU Member States. In= return, EFTA statisticians will be invited to participate in all ESTP cour= ses supported and financed by the European Commission (Eurostat). Other app= licants may be admitted to the courses depending on the availability of pla= ces.
Theme 6.02 Statistical trai= ning=20
Fields of activities covered by the theme
Conception and implementation of Eurostat's learning and development str= ategy for statistical training in the ESS (the ESS Learning and Development= Framework (the LDF)) aiming at:=20
=E2=80=A2 Improving the overall quality of European statistics;
=E2= =80=A2 Raising the qualification of statisticians in the ESS in order to pr= omote their independence in line with the European Statistics Code of Pract= ice;
=E2=80=A2 Encouraging both theoretical and practical learning and = development;
=E2=80=A2 Encouraging the exchange of best practices, know= how and experience;
=E2=80=A2 Supporting the implementation of the ree= ngineering of the statistical production processes in the ESS and the requi= red adapted skills and competence needs;
=E2=80=A2 Providing new altern= ative learning and development opportunities beyond traditional training; =E2=80=A2 Definition of appropriate set up of a European Master's in Off= icial Statistics.
1. Work to be carried out by Eurostat in 2012
=E2=80=A2 Establish annual ESTP (European Statistical Training Programme=
): ESTP Annual Catalogue 2013;
=E2=80=A2 Implementation of the ESS-LDF = (European Statistical System - Learning and Development Framework) projects= on e-learning, interactive platform, and competences;
=E2=80=A2 VIP Pr= oject: Study within the framework of the project EMOS (European Master in O= fficial Statistics).
Description and objectives=20
The UNECE promotes sharing experience and good practices on human resour= ces management and training in national statistical offices. In 2012, follo= wing a decision of the CES Bureau, UNECE will organize a meeting to discuss= recommendations on training of staff, implementation of e-learning and the= use of staff surveys. An interactive wiki has been established for distrib= ution of experiences and training materials to draw more attention to initi= atives for better human resources management.=20
Meeting to be organized in 20= 12:=20
Work Session on Human Resources Management and Training<= /a>, Budapest, 5-7 September.
Electronic exchange of stat= istical information=20
Ongoing work:=20
=E2=80=A2 Collection and processing of monthly, quarterly and yearly sta= tistical data, supplied to CIS-STAT by Commonwealth countries' national sta= tistical services, is carried out in accordance with the coordinated schedu= le by electronic mail over the Internet in the form of standardized questio= nnaires incorporating 220 Excel-format tables.=20
=E2=80=A2 Verification of the coming information including its compariso= n on the sites of the national statistical services; collection of missing = information from the sites of statistical services of the foreign countries= , including the sites of international statistical organizations.=20
New activities:=20
In 2012 work will continue on improving the electronic exchange of stati= stical information with national statistical services and international org= anizations.
Theme 6.03 - IT support for= statistical production=20
Fields of activities covered by the theme=20
=E2=80=A2 Functional studies / feasibility studies for sector and horizo=
ntal projects;
=E2=80=A2 Maintenance of existing statistical production= systems;
=E2=80=A2 Harmonisation, consolidation and reengineering of e= xisting statistical production systems;
=E2=80=A2 Enhancing functionali= ties of IT components used in the statistical production;
=E2=80=A2 Mai= ntenance and improvement of the database systems used for dissemination;
=E2=80=A2 Interfacing common building blocks into existing production sys= tems;
=E2=80=A2 Participation in the implementation of Joint ESS Strate= gy on the production method of EU statistics by identifying best practices = across the EU, by stimulating the use of standard tools and by providing IT= components usable by Eurostat and Member States.
The main actions are directly linked to the Joint ESS Strategy on the pr= oduction method of EU statistics as follows:=20
=E2=80=A2 The consolidation and improvements of systems target data inte=
gration and the creation of data warehouses for cross domain statistics and=
cost minimisation. (CVD =3D Cycle de Vie des Donn=C3=A9es =3D Data Life Cy=
=E2=80=A2 The sharing of data validation tools by the ESS members= will reduce the burden of the Member States and Eurostat, and at the same = time increase quality through harmonisation of procedures and the use of th= e same metadata.
=E2=80=A2 Sponsoring the development of a common refer= ence environment and infrastructure through the ESSNet CORE (COmmon Referen= ce Environment).
=E2=80=A2 Development of a common reference environmen= t and infrastructure.
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Data Life Cycle (CVD): Continue the consolidation of IT system=
s for statistical production in Eurostat by applying the CVD principles.
=E2=80=A2 Definition of a common reference environment towards which NSIs= can develop. Sharing of production tools within the ESS.
Theme 6.04 - IT standards, = tools and services for data exchange in the ESS=20
Fields of activities covered by the theme=20
Optimisation of Eurostat interaction with users and partners in the area= of data and metadata exchange by the means of:=20
=E2=80=A2 Cooperation with international institutions (UN, OECD, IMF, WB=
and others) on the Statistical Data and Metadata eXchange (SDMX) standard.=
=E2=80=A2 Developing common tools for efficient and secure exchange of= statistical data and metadata in the European Statistical System in cooper= ation with other relevant Commission services, the European System of Centr= al Banks and international organisations.
=E2=80=A2 Providing standard = web services available on Internet for Statistical production process compo= nents.
=E2=80=A2 Standards and software for Eurostat data collection fr= om European Statistical System.
=E2=80=A2 Re-engineering of the current= production processes under way: this concerns the rationalisation of the I= T architecture and the introduction of a more interactive production chain = on the basis of a solution via a common IT infrastructure.
=E2=80=A2 Ha= rmonisation through the use of common standards within the ESS, together wi= th process harmonisation through the promotion of methodologies based on co= mmon software tools.
=E2=80=A2 Data collection tools and methods and st= andardisation for European Statistical System raw data collections.
=E2= =80=A2 Data collection tools and methods and standardisation for Eurostat d= ata and metadata collection from European Statistical System.
=E2=80=A2= Developing and sponsoring development of a common IT infrastructure, the c= reation of a shared production and or dissemination environment within ESS,= e.g., common reference infrastructure.
=E2=80=A2 Exchange of common so= ftware tools, mostly open source, e.g., SDMX tools.
The actions are aiming at creating of more integrated systems by fully e= xploiting synergies and economies of scale. The goal is better interaction = with ESS partners and better integration of the ESS business. The better in= tegration of the statistical work done in the ESS with the one done in Euro= stat will lead to improve efficiency and quality (comparability and timelin= ess) and to reduce costs by the means of standardisation. Standardisation o= f methods and IT-tools is one of the cornerstones of the efficiency vision = contained in Commission Communication on the production method of EU statis= tics.=20
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Use the standard software: Single Entry Point for all regular =
data and metadata transmissions from Member States, based on standardised f=
ormats (GESMES, SDMX) where appropriate.
=E2=80=A2 Data transmission: c= oordination and promotion activities with Local Coordinator network.
= =E2=80=A2 Data transmission: maintain and improve the IT applications used = for the Single Entry Point. Develop reliable IT tools, with improvemen= ts in performance and functionality, which are available for all national a= uthorities for transmitting, uploading or transferring data via the Single = Entry Point.
=E2=80=A2 Cooperation on enhancement of SDMX standards and= capacity-building related actions.
=E2=80=A2 Support and implementatio= n actions related to SDMX and GESMES in Eurostat and MS. Implement the SDMX= (Statistical Data and Metadata Exchange) standards and guidelines for data= and metadata exchange, sharing and dissemination between the members of ES= S. Put in place more efficient processes for exchange, sharing and dissemin= ation of statistical data and metadata.
=E2=80=A2 Flexible access to 20= 11 census data for users. Operational SDMX Hub system for census data, usin= g SDMX standards and architecture.
=E2=80=A2 Data collection and = data exchange in ESS using SDMX architecture for delivering data in the ESS= . Develop IT infrastructure for SDMX implementation allowing sharing common= IT tools and easier data exchange. IT tools and components to enable the i= mplementation of SDMX within the ESS.
=E2=80=A2 Implement a single IT e= nvironment and services for structural and reference metadata allowing stan= dard access for ESS partners and within Eurostat. Common IT system for meta= data management within the ESS, using the SDMX standards and architecture.<= br> =E2=80=A2 Maintain Open Source Software repository and perform related = actions on software sharing.
Statistical Information Collection and Processi= ng=20
=E2=80=A2 An important effort will be made to collect and disseminate ne= w statistics and indicators, for short term and also annual data. The new d= ata collection application has been designed following the General Statisti= cal Business Process Model (GSBPM), and included the definition of a new co= ding framework, including coded metadata and annotations system.=20
=E2=80=A2 As regards data collection, electronic questionnaires will be = relied upon to a greater extent to collect data on new as well as more trad= itional indicators. Data received through electronic questionnaires will be= automatically uploaded into the database for prompt dissemination. We will= also continue to explore the possibilities of joint data collection with o= ther international agencies (Eurostat, OECD, IMF and others), in order to a= lleviate the reporting burden on countries by similar international questio= nnaires. The possibility of exchanging data with EUROSTAT and OECD through = SDMX already in place for the Short Term Indicators database, will be proba= bly expanded during 2012 for other topics and regions.=20
=E2=80=A2 The day to day operations will be improved by means of using a= tracking information system for monitoring the evolution of the data throu= gh the workflow, thus improving the overall quality of the Department outpu= ts.=20
=E2=80=A2 As part of the new information system, all the satellite appli= cations are being migrated from a SAS (Statistical Analysis Software) envir= onment to the new Oracle environment, and the use of the SAS software will = be limited to the processing of data for the purpose of data depuration and= statistical analysis.=20
=E2=80=A2 The Sources & Methods database, comprising detailed inform= ation about methodologies used in the data production by the NSI's, will be= adapted to conform to the DDI2 standard.
Maintain and support analyt= ical software=20
Maintain and support analytical software.=20
Objectives and outputs=20
Maintain and support analytical software.=20
Main Developments for 2012=20
General aspects:=20
ECO data system migration (Fame, Troll --> Prognoz, Eviews, OECD.Stat=
, MatLab)
TAD pilot study (Troll, Excel, SAS/OR --> Gams, Prognoz) Promotion of R to replace SAS
Capacity building for "big data" -->= ; e.g. R solution in the cloud
PowerPivot deployment with Office 2010 <= br class=3D"atl-forced-newline">
OECD.Graph<= /p>=20
OECD.Graph is an Excel add-in that allows authors to easily format Excel= graphs according to the OECD Charte Graphique and to produce publication-r= eady graphic files that do not need further editing by PAC. This provides a= significant efficiency gain in the production of graphs in printed publica= tions.=20
Further development work intent to even more increase efficiency in the = publication workflow.=20
Objectives and outputs=20
In 2012, developments will concentrate on enhancements requested for new= publications, a batch tool for automation purposes and a graph type templa= te library.=20
Main Developments for 2012=20
General aspects:=20
In 2012, developments will concentrate on enhancements requested for new=
publications, a batch tool for automation purposes and a graph type templa=
te library.
Software Toolkit for OECD S= tatistical Databases (StatWorks/MetaStore)=20
To provide a generic software toolkit for the management of OECD statist= ical production data and metadata. The StatWorks and MetaStore software pro= vide a common, SQL-based repository for statistical data and metadata, and = a set of tools for their management. The applications are improved to be be= tter integrated with each other and with other OECD corporate systems such = as the OECD.Stat data warehouse.=20
Objectives and outputs=20
The main objective of the StatWorks/MetaStore developments is to moderni= se the software platforms for the management of OECD statistics in replacin= g multiple, non-standard systems with a single, generic application. The ap= plications manage the following statistical production processes: initial d= ata and metadata migration, database administration, security management, d= ata and metadata collection, their importing and validation, calculations, = their querying and data export.=20
During 2004 the StatWorks software was implemented as a production appli= cation. The software is now used to manage 49 different databases containin= g 224 datasets across all substantive directorates.=20
Originally developed by STD, the MetaStore software is being maintained = and enhamced since 2008/2009 by ITN. It is used to manage metadata for 150 = datasets across all substantive directorates.=20
Main Developments for 2012=20
General aspects:=20
In 2012, development activities will concentrate on consolidating existi= ng features (e.g. export to .Stat), dynamic and advanced calculations, a st= epwise merge of MetaStore and StatWorks, more efficient and user-friendly i= nterfaces, consolidated and simplified import systems with new data collect= ion methods (SDMX flows, web surveys, web queries), flexible reports.= =20
Assistance for data base migrations into StatWorks (e.g. ENV datasets, o=
thers as appropriate).
Statistical Data & Meta= data Exchange (SDMX)=20
SDMX is an international standard for statistical data and metadata exch= ange and has been established by a consortium including the OECD and a numb= er of other International Organisations (BIS, ECB, Eurostat, IMF, UNSD and = the World Bank). The OECD is a member of the SDMX sponsor group and encoura= ges the overall goals of SDMX to facilitate data exchange between organisat= ions and reduce the burden for both data providers (National Statistical Ag= encies) and data collectors (International Organisations).=20
Objectives and outputs=20
Promotion of SDMX as a data exchange standard within STD and other OECD = directorates.=20
Non-member countries involved in the activity:=20
China, India, Russian Federation.=20
Main Developments for 2012=20
General aspects:=20
Increase in countries engaged in SDMX data exchange projects within STD = and other directorates. Host SDMX Experts group meeting.
=E2=80=A2 Collaborates with IMF, Eurostat, BIS, OECD and World Bank on t=
he development of XML data and metadata exchange standards;
=E2=80=A2 UNSD has fully developed data structure for MD= G Indicators, now being used for data and metadata exchange among some of t= he agencies involved in the MDG monitoring. Training is also being provided= to some groups of countries who have expressed the interest in adopting th= e platform for MDG data exchange.
Description and objectives=20
In response to demands from Heads of national and international statisti= cal organisations, the UNECE recently established a High-level Group for St= rategic Developments in Business Architecture in Statistics. This group ove= rsees work in the rapidly changing areas of statistical production and diss= emination to ensure the continued relevance and efficiency of official stat= istics. It coordinates the activities of relevant expert groups in the UNEC= E region to ensure that they are working towards common goals. This coordin= ation is based on a vision for industrialising the future production and pr= oducts of official statistics, which was endorsed by the CES in June 2011.<= /p>=20
The technological part of this work is driven by expert groups on softwa= re sharing, and the management of statistical information systems. A wiki p= latform has been created, containing an inventory of statistical software a= vailable for sharing and a facility for benchmarking statistical informatio= n technology activities. In 2012, further materials will be developed to fa= cilitate the sharing of software, ideas and experience between statistical = organizations, and to encourage more efficient and sustainable national sta= tistical production systems. One example, to be finalised in 2012, is a set= of guidelines on developing multi-lingual statistical software.=20
Meeting to be organized in 20= 12:=20
=E2=80=A2 Meeting on the Management of Statistical Infor=
mation Systems (MSIS), Washington D.C., 21-23 May;
=E2=80=A2 High-level Seminar on Modernization of Statistical Production = (tbc), St. Petersburg, 3-5 Octo= ber.
Statistical Information Col= lection and Processing=20
=E2=80=A2 The World Bank gathers macroeconomic data and projections at l= east once a year from its country teams in a process known as the Unified S= urvey. These data and projections are used for planning and evaluating Bank= operations. They underlie work on creditworthiness and risk assessment and= they are an important part of the Bank's external publications such as the= World Development Indicators, the country and regional At-a-Glance tables,= and Global Development Finance. These data are collected in a standardized= way using the World Bank's country database system known as the Live Datab= ase (LDB). The LDB is an Excel based system which standardizes the manageme= nt of macroeconomic information by organizing information into separate she= ets by topic and utilizing indicator codes, common layouts, and a variety o= f formatting, calculation, and reporting tools.=20
=E2=80=A2 The Development Data Platform (DDP), a web-based statist= ical data collection and dissemination system has integrated and streamline= d time-series data management operations at the Bank, and has established a= comprehensive platform to support the statistical data collection and diss= emination functions of the Bank. Also, the software can be provided to coun= tries to further the goal of statistical capacity building in these countri= es. The software developed in this project may be installed in these countr= ies.=20
=E2=80=A2 The Data Collection System (DCS), is an internal reposit= ory for time series data and metadata collection, validation, processing in= cluding aggregation to various regional and income based groupings. It is u= sed internally for a wide variety of socio-economic, financial and other to= pical indicators. The DCS provides data to the DDP (described above). As a = platform, DCS is also provided to other organizations which have similar ne= eds for statistical time series data collection and processing.=20
=E2=80=A2 The system has also incorporated micro data from household sur= veys allowing cross-country comparisons on key indicators by welfare status= .=20
=E2=80=A2 A web-based system, Data Platform (DP), is part of the D= DP suite of products developed to help clients and partners to manage and d= isseminate their data based on their preferences and needs. It provides a f= ramework for the use and management of quantitative data and their metadata= . The system is especially useful for any organization with a need to publi= sh statistical data on the web.=20
=E2=80=A2 The BIS, ECB, EUROSTAT, IMF, OECD, UN, and the World Bank have= set up a partnership to focus on establishing web-based standards for more= efficient exchange and sharing of statistical information and metadata, wh= ich is called SDMX. As part of this effort the Bank is currently chairing t= he Sponsor group and actively participating in the SDMX Secretariat activit= ies. The Bank is also a part of the newly formed SDMX Technical working gro= up. In the SDMX Global Conference hosted jointly by the Bank and IMF much h= eadway was made, and as a follow up to the conference, a new SDMX Action pl= an was drafted creating a roadmap for SDMX until 2015. The Action Plan is a= vailable on the web and accessible at the following url (http://sdmx.org/wp-content/uploads/2011/10/SDMX-Action-Pla= n-2011_2015.pdf). The Bank has now capability to accept data in SDMX fo= rmat and also provides download of the popular WDI database in SDMX-ML form= at. The Bank also has a SDMX Version 2.1 compatible REST based API for user= s to query the WDI data.
Rest of the World-CIS Coord= ination=20
=E2=80=A2 Coordinating statistical work and aligning and harmonizing sta= tistical tools with international standards in the areas of the System of N= ational Accounts and economic, demographic and social statistics, and impro= ving methods of processing information from Commonwealth member States.= =20
Materials in preparation are discussed by the CIS-STAT Scientific Counci= l, task forces and ad hoc meetings. The most important are discussed by the= Council of Heads of Statistical Services of the CIS. Once finalized, they = are circulated as recommendations to national statistical services.
Theme 6.08 - Statistical co= operation with countries covered by the European Neighbourhood Policy=20
Fields of activities covered by the theme=20
=E2=80=A2 Providing technical (statistical) advice to the EU's external =
action service (EEAS), including EU Delegations in the European Neighbourho=
od Policy (ENP) countries;
=E2=80=A2 Support the implementation of the = European Neighbourhood Policy through provision of statistical data;
= =E2=80=A2 Contribute to the design and implementation of statistical assist= ance programmes in the ENP East countries;
=E2=80=A2 Contribute to EU e= fforts to build statistical capacity within the framework of the MEDSTAT pr= ogramme of statistical cooperation with the ENP South countries;
=E2=80= =A2 Assisting the ENP South countries in designing their regional strategy = for statistics;
=E2=80=A2 Assisting the ENP countries to gradually alig= n their statistical systems with that of the EU;
=E2=80=A2 Encouraging = the application of best practices from the European Statistical System to b= e applied in ENP countries through mutual contacts, training, study visits,= workshops, seminars, and attendance at meetings;
=E2=80=A2 Collecting = and publishing a range of data from the ENP countries, as an input to the C= ommission assessment of progress in the countries, and to maintain mo= mentum for harmonisation of data for the region.
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Negotiation and follow-up of the implementation of the statist=
ics chapter in the Association Agreements between the EU and the ENP East c=
ountries through the provision of input to legal agreements, annual follow =
up and reporting on progress.
=E2=80=A2 Assist ENP East countries in de= veloping assistance programmes and projects, promote their funding with the= relevant stakeholders, be involved in their implementation through reading= reports, reviewing progress and participating in steering committees.
= =E2=80=A2 Collect, validate and process data from the ENP East countries In= order to update Eurobase and produce publications on key statistical indic= ators for ENP-East countries.
=E2=80=A2 Development of a regional strat= egy for cooperation with the ENP-South countries beyond the end of MEDSTAT = III, so as to reinforce the achievements of the MEDSTAT programmes.
=E2= =80=A2 Collect, validate and process data from the ENP South countries to u= pdate Eurobase and produce publications on key statistical indicators for E= NP-South countries.
=E2=80=A2 Support the implementation of the MEDSTAT= III programme by giving technical advice on content, experts, work program= me to the contracting authority (DG EuropeAid Development and Cooperation).=
=E2=80=A2 Negotiation and follow-up of the implementation of the stati= stics chapter in the Advanced Status Agreements between the EU and the ENP = South countries through the provision of input to Legal Agreements, follow-= up of their implementation, reporting on implementation.
=E2=80=A2 Mana= gement of high level seminars, workshops, training courses for European Nei= ghbourhood Policy (ENP) countries on key themes such as classifications, co= ordination of statistical systems, quality, strategic management, selected = statistical topics, the ESS, etc. to provide a forum for discussion and exc= hange of experience, and encourage capacity building.
=E2=80=A2 Support= other Commission services in the implementation of technical assistance pr= ogrammes through advice on statistical issues in technical assistance progr= ammes on energy and environment with a view of obtaining statistical data i= n these areas.
=E2=80=A2 Assess and monitor the development of the stat= istical system in the ENP countries through launching and implementing glob= al assessments, reviews and other kinds of assessments for the ENP countrie= s.
=E2=80=A2 Support the implementation of the European Neighbourhood P= olicy through promoting the importance of statistics for European policy pu= rposes (monitoring and design) including the need of support to the NSIs in= terms of statistical assistance programmes.
Theme 6.09 - International = statistical cooperation=20
Fields of activities covered by the theme=20
=E2=80=A2 Providing advice and expertise to Commission services (in part=
icular the External Relations Directorates-General, and the delegations) an=
d national statistical authorities with respect to European Commission deve=
lopment and cooperation policies (identification, planning, implementation =
and evaluation of statistical projects or the statistical elements of more =
wide-ranging development projects) and coordinating Eurostat units' contrib=
ution to this work;
=E2=80=A2 Assisting the European Commission in rela= tions with international organisations and in matters of common statistical= interest with non-European regions or countries;
=E2=80=A2 Advocating = and promoting good governance through statistics in the EU's external relat= ions policy;
=E2=80=A2 Monitoring and coordinating EU efforts to build = statistical capacity in countries outside Europe within the framework of in= ternational commitments such as the Millennium Development Goals (MDGs);
=E2=80=A2 Encouraging the application of ESS best practice in non-EU coun= tries through mutual contacts, training, study visits and attendance at mee= tings;
=E2=80=A2 Collecting data on non-EU countries obtained from all = available sources for use by Commission services in pursuit of their extern= al relations policies and, subject to agreement with data suppliers, the wi= der community of users;
=E2=80=A2 Ensuring that stakeholders are kept a= dequately informed through efficient communication;
=E2=80=A2 Represent= ing Eurostat in international organisations;
=E2=80=A2 Coordinating Eur= ostat's relations with Higher Income Countries (HIC) and Russia, in particu= lar implementing the EEA agreement in the field of statistics and the agree= ment with Switzerland on cooperation in the field of statistics.
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Change the focus of co-operation in Latin America from a progr=
amme-based approach to a looser one based on Memorandums of Understanding w=
ith regional organisations and larger countries in support of the developme=
nt of national statistical systems of countries by sharing the EU's experie=
nce in selected fields of joint priority and promoting horizontal cooperati=
=E2=80=A2 Fostering Good Practices in the LAC Region: sharing progr= ess and achievements of EU - driven subregional integration statistical pro= jects in the LAC (Latin America and Caribbean) region to enhance cost effec= tiveness of EU efforts. Preparation of a seminar with UN-ECLAC.
= =E2=80=A2 Modernisation of statistical data transmission in the LAC region:= training and technical assistance to develop capacities to use tools for d= ata and metadata transmission by reference to the SDMX standard.
=E2=80= =A2 Analysis and dissemination for water statistics on specific Central Asi= an countries: increase the capacity of target countries to improve environm= ental policies trough reliable statistics; to assist the EC in developing p= rogrammes on environmental issues for Central Asia on the basis of better w= ater statistics.
=E2=80=A2 IT tool to support price statistics in= developing countries: analyse the possibility to provide support to improv= e price statistics in developing countries, focusing on IT tools for the es= tablishment, harmonisation and analysis of price statistics.
=E2=80=A2 = Support to the recently created statistical subregional bodies in the= ALA region: to share the EU experience in the establishment of RSDS (Regio= nal Strategy for the Development of Statistics) in close coordination with = PARIS21. (By reference to ASEAN, Andean Community, Central America and Merc= osur).
=E2=80=A2 Support to the statistical capacity of the African Union Stati=
stics Division: in the framework of the EU/Africa Strategic Partnership Eur=
ostat ensure a constant support to the African Union Statistics Division th=
rough yearly agreed action plans including different kinds of activities, s=
uch as secondment of officials, training, sharing experience, produce joint=
publications, etc.
=E2=80=A2 Management of Commission's statistical re= lations with Asia through the implementation of MoUs: follow-up and impleme= ntation of road maps of MoUs with China, India and Kazakhstan, in support o= f the development of national statistical systems of these countries in are= as of joint priority.
=E2=80=A2 ERETES (Software package for National A= ccounts); transfer of know-how and upgrading to SNA2008: upgrading in order= to allow the production of National Accounts in line with the SNA 2008; ma= intenance; training of users and trainers, improve the coordination of the = User Group.
=E2=80=A2 DISC database on international statistical cooper= ation projects: the existing database should be improved mainly through the= creation of links to internal and external databases. The feasibility of o= ther links should be studied.
=E2=80=A2 Analysis and dissemination of t= hird countries data produced outside ESTAT: Millennium Development Goals (M= DGs) and socio-economic indicators analysis.
=E2=80=A2 Support to the u= sers of the EUROTRACE software: coordination of the User Group and transfer= the knowledge towards users; maintenance of the CIRCA dedicated website; t= raining of users and trainers.
=E2=80=A2 Guide on statistical cooperati= on extended and updated according to the users' needs and expectations. Coh= erence between the new modules and the original guide maintained both in En= glish and French and translated into Spanish. User-friendly on line version= made available.
=E2=80=A2 ASTRA - Statistical training in internationa= l cooperation through support of NSIs in developing countries by providing = a tool to identify training needs.
=E2=80=A2 Essential System of Nation= al Accounts (SNA): methodological support in the context of cooperation; su= pport to the SNA2008 implementation through the preparation of the handbook= "Essential SNA".
=E2=80=A2 Advisory group on international statistical= cooperation: advisory group on the co-ordination of EU technical cooperati= on on statistics with developing countries aiming at increasing coordinatio= n of technical assistance, increase synergies, avoid duplication of efforts= and contribute to increase aid effectiveness.
=E2=80=A2 Support to ben= eficiary countries and/regions in the preparation and implementation of Nat= ional Plans for the Development of Statistics (NSDS) Advocacy material: ass= ist recipient countries/regions to make aware or convince policy makers and= funders on the need for increased financial assistance for the implementat= ion NSDS; provide a user-friendly and updated set of NSDS (National Strateg= ies for he Development of Strategies) guidelines; make proposals on guideli= nes towards costing an NSDS.
=E2=80=A2 Efficiency and effectiveness of = the EU budgetary support instrument in ALA and ACP: assessment of applicabl= e, objective indicators to analyze effectiveness and efficiency of projects= for EU Budget Support.
=E2=80=A2 Implementation of Memorandums of Unde= rstanding and other relations with OECD countries and Russia: strengthen re= lations with OECD countries and Russia, follow up of MoU: to promote coordi= nation and cooperation in statistics-related matters e.g. the production of= official statistics, the promotion of best practices and the harnessing of= appropriate synergies; organisation of study visits and seminars.
=E2= =80=A2 Statistical cooperation with EFTA: implementation of the EEA Agreeme= nt on cooperation in the field of statistics.
=E2=80=A2 Statistical coo= peration with Switzerland: implementation of the Agreement between the Euro= pean Union and the Swiss Confederation on cooperation in the field of stati= stics.
=E2=80=A2 Working Group on International Relations (IRWG) and co= ordination of EU position through this group: assistance and support to the= ESSC in the area of international relations; increased efficiency in inter= national relations through better communication, coordination and consisten= t representation. Increased visibility and coordinated EU position.
=E2= =80=A2 Development of the Global Statistical System (GSS): organisation of = a seminar jointly with UNSD; organise a conference aiming at sharing common= statistical standards and animate a discussion on GSS challenges; organise= a seminar on spatial statistics.
Theme 8.05 - Relations with= the ESS, inter-institutional and international relations= p>=20
Fields of activities covered by the theme=20
=E2=80=A2 Governance of the European Statistical System (ESS), thr=
ough the management of the committees that form the core of the cooperation=
within the European Statistical System, in particular the European Statist=
ical System Committee, the highest-level committee within the ESS represent=
ing the producers of European statistics, the European Statistical Advisory=
Committee (ESAC), providing a stakeholder perspective (users, respondents =
and producers) on the relevance and priorities of EU statistics as well as =
the associated costs and resources, and the European Statistical Governance=
Advisory Board (ESGAB), whose role is to provide an independent overview o=
f the ESS as regards the implementation of the European Statistics Code of =
=E2=80=A2 Ensuring efficient co-operation with the Council, t= he European Parliament, the European System of Central Banks, the EESC (Eur= opean Economic and Social Committee) and the CoR (Committee of the Regions)= with regard to the statistical legislative production.
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Provide the Secretariat for ESAC;
=E2=80=A2 Prov= ide the Secretariat for the ESSC;
=E2=80=A2 Organise the DGINS Con= ference, in collaboration with the host country;
=E2=80=A2 Preparation = of the 2013 Eurostat Conference;
=E2=80=A2 Provide secretariat to = ESGAB.
Coordination of Internation= al Statistical Work=20
=E2=80=A2 FAO leads the Coordinating Working Party on Fishery Statistics=
(CWP) to identify the statistical needs and develop standard concepts, def=
initions, classifications and methodologies of the collection and collation=
of fishery and aquaculture statistics.
=E2=80=A2 FAO leads the Inter-s= ecretarial Working Group on Forest Sector Statistics (IWG).
Secretariat to the UN Statistical Commission an= d the Committee on Coordination of Statistical Activities= p>=20
=E2=80=A2 Coordination of intergovernmental and inter-agency meetings in= statistics, serving as secretariat to the UN Statistical Commission and th= e Committee on Coordination of Statistical Activities. See also: http://unstats.un.org/unsd/statcom/commission.htm and http://= unstats.un.org/unsd/workpartner_ccsa.htm.=20
Facilitator of City Groups= =20
=E2=80=A2 UNSD is facilitating the work of so-called 'city groups', in o= rder to address issues identified by the Statistical Commission as critical= problems. UNSD will continue to encourage countries to actively participat= e in the discussions of the various groups. It will also disseminate inform= ation on the groups and their activities widely. Detailed information on th= e groups and their activities is available at UN Web page. See also: http://unstats.un.org/unsd/methods/citygroup/index.htm.
Description and objectives
Promoting coordination of the international statistical work in the regi= on is one of the key tasks of the Conference of European Statisticians. Eff= icient coordination is important to avoid duplication of work, find synergi= es, use resources efficiently and reduce burden on national statistical off= ices. Furthermore, international cooperation is enshrined in the Fund= amental Principles of official statistics as an important factor contributi= ng to the improvement of systems of official statistics in all countries.= p>=20
The CES is a body composed of the Heads of the national statistical orga= nizations in the UNECE region, with the participation of Australia, Brazil,= China, Chile, Japan, Mexico, Mongolia, New Zealand, Republic of Korea and = South Africa. The major international organizations active in statist= ics in the UNECE region also participate in the work, such as the statistic= al office of the European Union (Eurostat), Organization for Economic Coope= ration and Development (OECD), the Interstate Statistical Committee of the = Commonwealth of the Independent States (CIS-STAT), International Monetary F= und (IMF), World Bank, UN Statistical Division (New York) and other UN agen= cies, etc.=20
The Conference and its Bureau provide a platform for coordination of int= ernational statistical work. There are several mechanisms to ensure the coo= rdination in practice, of which the main ones are the regular meetings of t= he Conference and its Bureau, the CES seminars exploring the foundational i= ssues of statistical systems and emerging topics, in-depth reviews of selec= ted statistical areas, and the Database of International Statistical Activi= ties. The UNECE Statistical Division provides the secretariat for the Confe= rence, as well as undertakes substantive work mandated by the Conference an= d its Bureau.=20
The topics for the CES seminars are selected by the member countries and= address issues of current interest to the Heads of national statistical or= ganizations. In 2012, the first seminar will deal with implementing the UN = Fundamental Principles of Official Statistics. With more diverse sources of= official statistics and increasing requirements for evidence-based decisio= n-making, the role of statistical offices has considerably evolved since th= e Principles were adopted 20 years ago. The seminar will explore how to res= pond to the new challenges. It will pay special attention to the coordinati= on of national statistical systems which is one of the most difficult Princ= iples to implement in practice. The seminar also responds to a call from th= e UNSC for regional assessments of the implementation of the Fundamental Pr= inciples.=20
The second seminar of the Conference in 2012 will deal with challenges i= n future population and housing censuses. The seminar will focus on issues = related to planning the next round of censuses based on lessons learned fro= m the 2010 census round. It will explore how the technological and methodol= ogical innovations can make the censuses more efficient and allow the produ= ction of high quality data while controlling costs. The seminar will = feed into the UN Statistical Commission's analysis of the experiences with = the recent censuses.=20
The CES Bureau will meet twice in 2012 to steer the programme of work of= the Conference and ensure that it reflects the priorities of member countr= ies. The international statistical work in two areas will be reviewed in-de= pth in 2012. The first topic, measuring poverty, is essential for monitorin= g progress towards the Millennium Development Goals. Achieving internationa= l comparability in statistics on poverty has proven challenging due to diff= erent definitions and methods of measuring poverty, and the different natio= nal poverty lines. The review is expected to result in proposals for follow= -up activities to improve work in this area.=20
The second topic to be reviewed in-depth is banking, insurance and finan= cial statistics. The topic was selected for a review in response to the eco= nomic crisis, which exposed data gaps that hinder analysis of stability of = the financial sector.=20
In addition, the three in-depth reviews carried out at the end of 2011 o= n education statistics, global manufacturing, and household survey methods = are expected to lead to follow-up work in 2012.=20
The UNECE Statistical Division maintains an annually updated Database of= International Statistical Activities (DISA) as a tool to support the Confe= rence and its Bureau in their coordination function. The database is a comp= endium of statistical work of international organizations in 2012 within th= e UNECE region. It is available online to be used by countries and internat= ional organizations to foster cooperation and avoid duplication of effort.<= /p>
Co-ordination of OECD Stati= stical Activities=20
To increase the visibility of statistical activities carried out by the = OECD and to coordinate internal OECD statistical activities in order to imp= rove the quality of statistics and the efficiency of the OECD statistical o= rganisation.=20
Promote inter-agency cooperation and coordinate OECD statistical program= mes with Eurostat, ECE, IMF, UN and other organisations with respect to bot= h data collection and the development of international statistical standard= s.=20
Objectives and outputs=20
Further improve international co-operation between OECD member countries= , as well as statistical relationships with national statistical offices of= non-member countries through the OECD Committee on Statistics, composed of= Heads of National Statistical Agencies.=20
Collaborate with other Directorates of the Organisation, with national d= ata providers and with other international organisations to: reinforce the = quality of OECD statistical data and the efficiency of statistical activiti= es across the Organisation; improve data collection and data and metadata c= overage for member and non member countries; increase the visibility of OEC= D statistical work; and contribute to the development of the international = statistical system.=20
Collaborate with other Directorates in the Organisation to improve the c= onsistency of data and metadata collected and disseminated by the OECD thro= ugh the OECD statistical information system, promote linkages with similar = facilities in other international organisations and national agencies, impr= ove efficiency of data and metadata collection, minimise burden and strengt= hen the value of "OECD statistics".=20
Develop a better knowledge of legal and institutional framework for stat= istics in member and non member countries and identify "best practices" to = encourage member and non member countries to respect sound, fundamental pri= nciples for official statistics.=20
Non-member countries involved in the activity:=20
Brazil, China, India, Indonesia, Russian Federation, South Africa.= =20
OECD statistical programme of work=20
Main Developments for 2012=20
General aspects:=20
2012 will see continuation of the accession activities with Russia. In a= ddition, coordination with enhanced engagement countries and other non memb= ers will be significantly reinforced. Finally, efforts will be made to impr= ove collaboration and advice on statistical activities with OECD policy com= mittees via the Committee on Statistics.
Technical cooperation=20
EFTA technical cooperation programmes and activities are governed by a M= emorandum of Understanding (MoU) between the EFTA Secretariat and Eurostat.= The MoU's overall objective is to avoid gaps or overlapping in technical a= ssistance toward countries where the European Union is also active, through= direct involvement of the four EFTA States in statistical programmes run b= y the European Commission. EFTA's involvement in technical cooperation prog= rammes under the MoU gives priority to countries that have concluded declar= ations on cooperation or free trade agreements with EFTA. In 2012, support = will be mainly granted to economies in transition in Eastern Europe, Caucas= us and Central Asia (EECCA), Western Balkans and Mediterranean regions (Med= stat). EFTA cooperation will give priority to global assessments of nationa= l statistical systems in light of the revised European Statistics Code of P= ractice as well as seminars and study visits on socio-economic statistics, = applied statistical methods and management of technical assistance in stati= stics.
Theme 6.07 - Statistical co= operation with the candidate and potential candidate countries=20
Fields of activities covered by the theme=20
=E2=80=A2 Preparation of candidate and potential candidate countries for=
EU membership by aligning their methodologies and practices with the stati=
stical acquis and integrating them into the European Statistical System.
=E2=80=A2 Inputs to meetings under the structures of the Stabilisation an= d Association Agreements / European Agreements and inputs to the Commission= 's annual progress reports and its opinions on countries' applications for = EU membership.
=E2=80=A2 Provision of harmonised statistics covering th= e candidate and potential candidate countries.
=E2=80=A2 Screening, neg= otiations and follow-up of the commitments regarding the statistics chapter= and the statistics component of other chapters.
=E2=80=A2 Assistance t= o the candidate and potential candidate countries involving the entire cycl= e for assistance programmes with programming, tendering, implementation and= evaluation under the Instrument for Pre-Accession (IPA).
1. Work to be carried out by Eurostat in 2012=20
=E2=80=A2 Provision of support to population and housing censuses for ca=
ndidate and potential candidate countries;
=E2=80=A2 Support regional c= ooperation in the Western Balkan countries through the organisation of conf= erences, seminars, events with a regional perspective to foster regional co= operation and understanding.
=E2=80=A2 Monitor the statistical systems in candidate countries and pot=
ential candidates using different assessment instruments (global assessment=
s, peer reviews, compliance monitoring database, Eurostat annual assessment=
=E2=80=A2 Production and dissemination of statistical data = on candidate countries and potential candidates through publications and up= dating the Eurostat website.
=E2=80=A2 Coordinate, design, contract, im= plement and follow-up cooperation programmes for candidate countries and po= tential candidates to assist candidate countries and potential candid= ates in aligning their statistical production with the acquis.
=E2=80= =A2 Support the EU enlargement policy through participation in sub-committe= e meetings under the Accession / European Agreements, following-up on commi= tments on chapter 18 from the negotiation process, contributing to the annu= al EU progress reports.
Technical Assistance=20
=E2=80=A2 The statistical capabilities of ILO constituents vary, and a c= onsiderable upgrading of capacity is needed in many areas. The ILO provides= technical support for labour and decent work statistics to member States i= n the form of technical advice and assistance, training, manuals, and techn= ical cooperation projects. This assistance is provided under the auspices o= f the ILO's Decent Work Country Programmes. It is demand-driven, depending = on the availability of resources. Requests for assistance may derive from t= he application of the Labour Statistics Convention 1985 (160).=20
=E2=80=A2 Technical assistance is served from the ILO Offices in Budapes=
t, Moscow and, in the case of Mongolia, Bangkok, and by National Coordinato=
rs, as well as from the ILO Headquarters in Geneva.
Training Programme of the ILO Department of Sta= tistics=20
=E2=80=A2 The ILO Department of Statistics' will maintain its training p=
rogramme to support:
a) ILO constituents to increase their capacity to = produce reliable statistics and labour market information for the best use = in effective decision-making, to achieve decent work for all and;
b) to= enhance ILO staff knowledge and use of modern statistical methods regardin= g data collection and analysis so as to optimize their service to member St= ates, to assist them to meet their goals of Decent Work for all.
=E2=80=A2 The ILO will conduct its annual LMI2 course on "Designing labo= ur force surveys and labour force modules for household surveys". The cours= e in English will take place on 16-20 April 2012 at the ILO Training Center= in Turin, Italy. Spanish and French versions of the course are expected to= take place at the regional level.
PARIS21 Partnership in Stat= istics for Development in the 21st Century=20
PARIS21 is a partnership of national, regional and international statist= icians, policy makers, analysts, development professionals and other users = and producers of statistics, including civil society. PARIS21's goal is to = develop a culture of Management for Development Results.=20
Objectives and outputs=20
PARIS21 activities focus on assisting all low-income and lower middle in= come countries in the design, implementation, and monitoring of National St= rategies for the Development of Statistics (NSDS). PARIS21 carries out this= work through i) facilitating the co-ordination of stakeholders to better a= ddress an evolving agenda, ii) advocating for increased involvement of nati= onal stakeholders in statistical development and enhancing the status of st= atistics in major international initiatives, iii) promoting better-quality = and effectively implemented NSDSs, and iv) stimulating increased demand for= and better use of data. Co-ordination activites include the annual Partner= Report on Support to Statistics, which provides an inventory of global sup= port to statistical development, and the creation of national (country-dono= r) partnerships to discuss statistical issues. Advocacy activities have inc= luded the production of national booklets promoting the importance of stati= stics in poverty reduction decision-making processes.=20
Non-member countries involved in the activity:=20
Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia = and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa R= ica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia,= Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malay= sia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro= , Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, S= ingapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukrai= ne, Uruguay, Uzbekistan, Venezuela.=20
Main Developments for 2012=20
General aspects:=20
Throughout 2012, PARIS21 and its partners will update and enrich the NSD= S guidelines to include best practices collected over the past several year= s. PARIS21 will also organise two subregional workshops (Central America an= d South-East Asia) on regional statistical strategies.
Purpose= =20
The Partnership in Statistics for Development in the 21st Century (PARIS=
21) is a global partnership of national, regional, and international statis=
ticians, analysts, policy-makers, development professionals, and other user=
s of statistics. The PARIS21 Consortium was established as a global forum a=
nd network to promote, influence, and facilitate statistical capacity devel=
opment and the better use of statistics.
<= /p>=20
Objectives and outputs=20
PARIS21's goal is to develop a culture of Management for Development Res=
ults. PARIS21 pursues this goal by encouraging and assisting low-income and=
lower middle income countries in the design, implementation, monitoring, a=
nd resource mobilization of National Strategies for the Development of Stat=
istics (NSDS). The PARIS21 Secretariat supports NSDS processes primarily th=
rough the following types of activities: (1) facilitating the coordination =
of stakeholders to better address an evolving agenda, (2) advocating for in=
creased involvement of national stakeholders in statistical development and=
enhancing the status of statistics in major international initiatives, (3)=
promoting better-quality and effectively implemented NSDSs, and (4) stimul=
ating increased demand for and better use of data. The PARIS21 Secretariat =
continues to co-manage and implement with the World Bank and other partners=
two key statistical programs =E2=80=94 the International Household Survey =
Network (IHSN) and the Accelerated Data Program (ADP). The IHSN's objective=
is to bring survey producers, sponsors, and users together to improve the =
use of survey data for policy making and monitoring. The ADP assists countr=
ies to undertake urgent improvements to produce consistent results for moni=
toring progress and measuring change in key development indicators, includi=
ng the MDGs.
Non-member countries involved= in the activity:=20
Afghanistan, Albania, Algeria, Angola, Armenia, Azerbaijan, Bangladesh, = Benin, Bhutan, Bolivia, Bosnia-Herzegovina, Botswana, Burkina Faso, Burundi= , Cambodia, Cameroon, Cape Verde, Central African Republic, Chad, China, Co= lombia, Comoros, Democratic Republic of the Congo, Congo, C=C3=B4te d'Ivoir= e, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equ= atorial Guinea, Eritrea, Ethiopia, Fiji, Gabon, Gambia, Georgia, Ghana, Gre= nada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, India, Ind= onesia, Islamic Republic of Iran, Iraq, Jordan, Kenya, Kiribati, Korea (DR)= , Kosovo, Kyrgyzstan, Lao PDR, Lesotho, Liberia, Libyan Arab Jamahiriya, Ma= cedonia FYROM, Madagascar, Malawi, Maldives, Mali, Marshall Islands, Maurit= ania, Mauritius, Micronesia (FS), Moldova, Mongolia, Morocco, Mozambique, M= yanmar, Namibia, Nepal, Nicaragua, Niger, Nigeria, Niue, Pakistan, Palestin= ian Adm. Area, Papua New Guinea, Paraguay, Peru, Philippines, Rwanda, Samoa= , Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Solomon Islands= , Somalia, South Africa, Sri Lanka, St Lucia, St Vincent & Grenadines, = Sudan, Swaziland, Syrian Arab Republic, Tajikistan, Tanzania, Thailand, Tim= or-Leste, Togo, Tonga, Tunisia, Turkmenistan, Tuvalu, Uganda, Ukraine, Uzbe= kistan, Vanuatu, Vietnam, Yemen, Zambia, Zimbabwe.=20
Main Developments for 2012=20
General aspects:=20
In 2012, in collaboration with bilateral, regional, and international pa= rtners, PARIS21 will conduct the next round of its "Partner Report on Suppo= rt to Statistics (PRESS)." The aim of the exercise will be to report on the= activities of providers of development cooperation in support of statistic= al development, with an ultimate objective of facilitating collaboration. I= n addition, PARIS21 will update the NSDS guidelines, enriching them with ex= periences gained over the past several years.=20
Statistical Capacity Building=20
Ongoing work:
=E2=80=A2 In 2012, ongoing P= ARIS21 Secretariat work will involve activities at the national and regiona= l level. The activities related to country support will focus on the facili= tation of NSDS implementation, including the establishment of national part= nerships of stakeholders around statistics. The national partnership is int= ended to facilitate a better alignment of external support to the NSDS impl= ementation plan, increased mobilization of resources at the country level, = and the use of more efficient and better coordinated funding arrangements f= or statistical development activities. At the regional level, advocacy work= shops will be organised in the Central American and South-East Asian region= s to allow countries to share information and benefit from other countries'= experiences in statistical development.
<= /p>=20
Priority objectives:=20
=E2=80=A2 The main aim of the PARIS21 partnership is to support implemen=
tation of well-designed and well-coordinated national and international sta=
tistical programmes, which have adequate funding and are centered on implem=
enting NSDSs which both develop statistical capacity and provide data for i=
mmediate priority needs.
New activities:=20
=E2=80=A2 In 2012, PARIS21 will be instrumental in implementing a "Busan=
Action Plan for Statistics" which updates the priorities and work of the 2=
004 Marrakech Action Plan for Statistics and provides a framework for the d=
evelopment of statistics globally.
PARIS21 Board Meeting
28-30 March 2012, Paris, France
The UN Statistics Division's objective is to support national efforts in= building and strengthening national statistical capacity of developing cou= ntries, particularly the least developed countries, and of countries with e= conomies in transition to routinely collect, compile, store, analyze and di= sseminate official statistics and indicators in the economic, social, demog= raphic and environment fields to produce quality data, including data disag= gregated by sex, for national policymakers and for other users at the natio= nal and international levels.=20
To meet the overall objective, UN Statistics Division's capacity buildin= g programme consists of providing advisory services, conducting workshops, = seminars and conferences, organizing study tours, arranging fellowships and= hosting interns and fellows, and maintaining knowledge hubs and toolkits i= n a number of statistical domains . These domains are i) national statistic= al system, ii) demographic and social statistics; iii) national accounts, b= asic economic statistics, trade statistics, industry statistics, econo= mic and social classifications and environmental-economic accounting; iv) e= nvironment and energy statistics; v) MDGs statistics and indicators; and vi= ) geospatial information. The first domain covers activities directly relat= ed to the organization of national statistical systems, such as the buildin= g of better institutional arrangements, improved legal frameworks, better o= rganizational structure and better management of human resources. The other= subject domains are very broadly defined to cover together most of the sub= stantive areas in statistics.=20
Ongoing work=20
The main task within the domain of demographic and social statistics wil= l be to continue to assist Member States in conduct of their population and= housing censuses and disseminate census results in a timely manner. A proj= ect on improving gender statistics will be initiated in 2012. The prioritie= s in other domains are: i) implementation of the 2008 System of National Ac= counts (SNA), ii) implementation of the revised recommendations in areas of= industrial statistics and indices, energy statistics, international classi= fications, international trade statistics, and tourism statistics; and iii)= implementation of the Framework for the Development of Environment Indicat= ors (FDES) and volume 1 Central Framework of the System of Environmental-Ec= onomic Accounting (SEEA). Particular attention will be paid to the quality of statistical information and the developmen= t of a generic national quality assurance framework. UNSD also secur= ed donor funding for the improvement of the MDG indicators. Through its reg= ular programme and the donor funded projects UNSD will continue to assist d= eveloping countries with capacity development trainings in the areas of MDG= indicators, and monitoring of MDGs particularly in view of the 2015 deadli= ne for the Millennium Development Goals and the post 2015 agenda. The Divis= ion is also increasingly providing capacity-building support to member Stat= es in the area of geospatial information.
Description and objectives=20
The UNECE aims to enhance the capacity of national statistical systems o= f EECCA and South-East European countries to implement international standa= rds and guidelines. A particular attention is paid to promoting the UN Fund= amental Principles of Official Statistics that provide basis for a sound le= gal and institutional framework for national statistical systems.=20
The UNECE capacity building activities include:=20
(a) Training workshops;
(b) Global assessments of national statistic= al systems;
(c) Advisory services provided by the UNECE experts to addr= ess country specific needs.
The capacity building activities are carried out in coordination and in = partnership with other international organizations, in particular with the = United Nations Economic and Social Commission for Asia and the Pacific (UNE= SCAP), UNSD, Eurostat, the European Free Trade Association (EFTA), OECD, th= e United Nations Population Fund (UNFPA), the United Nations Children's Fun= d (UNICEF), the United Nations Development Programme (UNDP), PARIS21, the S= tatistical Institute for Asia and the Pacific (SIAP), the World Bank, IMF, = the World Health Organization (WHO) and other bilateral and multilateral do= nors.=20
The UNECE, together with Eurostat and EFTA, conducts global assessments = (GA) of national statistical systems of EECCA countries. The purpose is to = provide a clear picture of the state of development of official statistics = in a country. This helps the national authorities to better programme the l= ong-term development of statistics, and the international donors to focus t= heir technical cooperation activities on the identified needs. The GAs cond= ucted in 2010-2011 in Armenia, Azerbaijan, Kyrgyzstan and Ukraine are expec= ted to result in action plans to improve national statistics according to t= he recommendations. In 2012, GAs are planned to be carried out in Moldova, = Belarus and Tajikistan. Some additional countries have indicated their inte= rest in GAs in the coming years.=20
The UNECE capacity building activities are planned based on the findings= of global assessments and the needs of the EECCA countries. In 2012, UNECE= will organise sub-regional workshops and advisory services to address curr= ent challenges in economic, social and environment statistics, streamlining= statistical production and improving the indicators for monitoring the ach= ievement of MDGs. The capacity building will be supported by promoting the = exchange of national good practices at sub-regional level, undertaking benc= hmark studies and stimulating the establishment of networks of experts.= =20
The Programme Working Group on Statistics of the UN Special Programme fo= r Economies of Central Asia (SPECA)[1] meets annually to discuss= needs for capacity building and coordinate donor activities. The UNECE wil= l work in 2012 on the development and fund-raising of three new capacity bu= ilding programmes: on economic statistics, including the implementation of = the 2008 SNA; regional migration statistics; and streamlining statistical p= roduction of SPECA countries. These projects would complement the ongoing t= echnical cooperation activities in the region.=20
Meeting to be organized in 20= 12:=20
7th SPECA Project Working Group on Statistics, Bish=
kek,1-2 October.
[1] Member countries: Afghanistan, Azerbaijan, Kazakhstan, K=
yrgyzstan, Tajikistan, Turkmenistan, Uzbekistan.
Statistical Capacity Buildi= ng=20
Ongoing work:=20
=E2=80=A2 The World Bank promotes statistical capacity building (SCB) ma= inly through financial instruments, advisory services, knowledge products, = and partnerships. Our activities are centred around the implementation of t= he Marrakech Action Plans for Statistics (MAPS). Main financial instruments= are loans and grants. Lending projects are mostly long term and comprehens= ive in coverage. The projects typically aim at improved economic and social= information for policy making and poverty reduction by strengthening plann= ing, statistical legislations, infrastructure, human resources, data collec= tion, processing, analyzing, archiving, and dissemination. A multi-country = lending program, Statistical Capacity Building Program (STATCAP), became op= erational in 2004 to make investments in statistical development easier and= more effective. It is designed to be simple to initiate, plan and operate.==20
=E2=80=A2 A $32 million loan under STATCAP for a statistical capaci= ty building program in Ukraine was approved by the Bank's Executive Board i= n 2004 and is currently being implemented. The loan includes finance for or= ganizational and management reform, development of statistical infrastructu= re, modernization of computing infrastructure, technical assistance in vari= ous areas, and use of economic data in analysis and forecasting. Technical = assistance and consulting related components of the project were completed = and the ICT component will be completed in 2012. An interim Implementation = Completion Report was prepared by the Bank.=20
=E2=80=A2 In the Russian Federation as a part of the STATCAP facil= ity a new $50 million Project for Development of the State Statistical Syst= em (STASYS 2) became effective in April 2008. The project is now under impl= ementation as a follow up to the STASYS project which was completed in Dece= mber 2006. For the STASYS 2 Project, the World Bank finances 20% of the abo= ve amount to i) enforce further modernization of statistics methodology in = compliance with the international standards; ii) strengthen development of = modern design and technology for statistical data collection, processing, a= nd dissemination; iii) ensure enhancement of social statistics, and iv) sup= port human resource development in the statistical system.=20
=E2=80=A2 A STATCAP project for Tajikistan was approved in 2006, a= nd completed in June 2011. The project was supported by co-financing from D= FID and SIDA, as well as in-kind contributions from the Turkish Internation= al Cooperation Agency (TICA). The completion evaluation report conducted by= an independent consultant revealed that project achieved all proposed obje= ctives made a significant contribution to the improvement of the Tajik stat= istical system. These findings were confirmed by the Implementation Complet= ion Report (ICR) prepared by the World Bank.=20
=E2=80=A2 A $20 million loan under the STATCAP umbrella for Kazakhs= tan was approved by the World Bank in March 2011. The main objective of the= project is to improve efficiency and effectiveness of the national statist= ical system to provide relevant, timely and reliable data in line with inte= rnationally accepted methodology and best practices. The project will upgra= de the conceptual, methodological and analytical skills of the Kazakh Agenc= y on Statistics of Republic of Kazakhstan (ASRK) and other data producer an= d user agencies of the country. The loan agreement was signed in August 201= 1 and ratified by the Kazakh Parliament in December 2011. The project will = become effective before the end of the year and implementation will start i= n January 2012.=20
=E2=80=A2 The World Bank manages a multi-donor Trust Fund for Statistica=
l Capacity Building (TFSCB which aims to strengthen the capacity of statist=
ical systems in developing countries. It supports: i) NSDS projects assisti=
ng the preparation of National Strategies for the Development of Statistics=
(NSDS); and ii) Statistical capacity improvement projects aiming at streng=
thening the capacity in key priority areas. TFSCB also funds participation =
of developing country representatives in meetings, seminars and workshops. =
TFSCB has financed below projects in the region that are under implem=
- UNECE: Capacity Building Program on New Challenges in Econo= mic Statistics in Central Asia and Eastern European Countries 2009-2011 $35= 5,000
- Turkmenistan: Statistical Capacity Building for Growth and Pove= rty Reduction $387,500
- Piloting and Preparatory Work for 2011 Armenia= Population Census $100,000
- Russia: Strengthening Subnational Capacit= y for Analysis of Living Conditions $259,000
- Georgia: National Statis= tics System Development Strategy $280,000
- Georgia: Preparatory Work f= or 2013 Georgia National Population Census $250,000
- CIS Statistical C= ommittee Training Program $375,000
- Tajikistan: Preparation of the Sta= tistical Master Plan-2 $80,000
- Kyrgyz Republic: Preparation of a New = Statistical Master Plan $74,000
- Russian Federation/CIS: The Need to D= evelop an Integrated System of Household Surveys to Collect Data on Interna= tional Migration in the CIS States $320,000
=E2=80=A2 The World Bank Development Grant Facility provided grants to U=
NECE in the total amount of 950,000 USD to strengthen national capacity to =
improve gender statistics in Southern and Eastern Europe. These grants fall=
under the Marrakesh Action Plan for Statistics umbrella, and were used to =
finance the following objectives: i) improve gender sensitivity of National=
Statistical Systems in order to increase availability, raise quality and i=
mprove access to data for developing, monitoring, and evaluating gender pol=
icies; and ii) increase capacity of users to utilize statistics for policy =
making and how to judge the quality and availability of data at the nationa=
l and regional level.
=E2=80=A2 The World Bank maintains a web site on Statistical Capacity Bu= ilding which provides information on the financial instruments, including S= TATCAP and TFSCB, advisory services, databases, and reference materials ava= ilable in support of statistical capacity building. See http://www.worldbank= .org/data/statcap.=20
=E2=80=A2 The World Bank has developed in the last three years the Virtu= al Statistical System which is an online resource for statisticians and use= rs of statistics with information about how to manage statistical systems a= nd how to make official statistics. The website includes a knowlede base wi= th over 2000 pages of text, a VSS Wiki and VSS discussion groups which allo= w knowledge exchange all over the world, and the VSS elearning website call= ed Modules for Strengthening Statistics. The site can be found at (www.vi= rtualstatisticalsystem.org and www.statsys.org). The design of the site was an effo= rt of working in partnership with several other international organizations= and developed and developing countries.=20
=E2=80=A2 The Country Statistical Information Database provides informat= ion on national statistical systems useful for assessing statistical capaci= ty and monitoring progress in statistical capacity building in developing c= ountries. The database contains information encompassing various aspects of= national statistical systems and operations, such as statistical law, nati= onal statistical strategy, statistical practice, censuses and surveys, nati= onal statistical agencies and publications, , and World Bank statistical pr= ojects. It also includes a country-level composite statistical capacity ind= icator based on evaluation of countries against a set of criteria in the ar= eas of statistical practice, data collection and indicator availability, co= nsistent with international recommendations. In addition, the database allo= ws for cross-country comparisons of selected indicators. See h= ttp://www.worldbank.org/data/countrydata/csid.html.=20
=E2=80=A2 The World Bank provides funding to PARIS21 from its developmen= t Grant Facility for the implementation of the Accelerated Data Program (AD= P), jointly implemented with the World Bank Data Group. The ADP provides su= pport to countries in the areas of microdata documentation, dissemination a= nd preservation. The Russian Federal Service of State Statistics (Rosstat) = was introduced to the software and practices promoted by the ADP.=20
=E2=80=A2 A web-based tool called the "Bulletin Board on Statistica= l Capacity (BBSC)" has been launched on the World Bank website. The tool wi= ll help strengthen the capacity of countries, especially IDA countries, to = compile and use statistics with an overall aim of supporting the management= of development results. Specifically, the BBSC: i) presents key informatio= n on national statistical systems collected from national and international= sources, including planning, funding, human resources, census and surveys;= ii) assesses countries' statistical capacity in key areas including instit= utional framework, statistical methodology, source data, data periodicity a= nd timeliness through the use of a composite indicator, checklists, maps an= d charts; and iii) allows users to provide feedback and updates easily and = quickly with interactive features. The BBSC is available online at: http://www.= worldbank.org/data/bbsc.


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