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Data Quality Assessment Framework (DQAF)
=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.=20
Statistical Information Collection and Processing
=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.
=E2=80=A2 The Develop= ment Data Platform (DDP), a web-based statistical data collection and disse= mination system has integrated and streamlined time-series data management = operations at the Bank, and has established a comprehensive platform to sup= port the statistical data collection and dissemination functions of the Ban= k. Also, the software can be provided to countries to further the goal of s= tatistical capacity building in these countries. The software developed in = this project may be installed in these countries.
=E2=80=A2 The syste= m has also incorporated micro data from household surveys allowing cross-co= untry comparisons on key indicators by welfare status.
=E2=80=A2 A ne= w web-based system, Data Platform (dp), is part of the DDP suite of product= s developed to help clients and partners to manage and disseminate their da= ta based on their preferences and needs. It provides a framework for the us= e and management of quantitative data and their metadata. The system is esp= ecially useful for any organization with a need to publish statistical data= on the web.
=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 involved in a Pilot= Project in rebuilding the Joint External Debt Statistics through SDMX stan= dards (see
). These statistics are a product of the Inter-Agency Tas= k Force on Finance Statistics. They bring together data that are currently = compiled and published separately by the contributing international agencie= s on components of countries' external debt and international reserve asset= s. This should facilitate timely and frequent access by a broad range of us= ers to a single data set. These data are mostly from creditor and market so= urces, but also include information provided by the debtor countries to the= Quarterly External Debt Statistics (QEDS) of the World Bank. The goal is t= o explore common e-standards and ongoing standardization activities that co= uld allow us to gain efficiency and avoid duplication of effort in our own = work and possibly for the work of others in the field of statistical inform= ation. We intend to do this by taking advantage of existing and emerging:
Statistical Capacity Buildi= ng
=E2=80=A2 The World Bank promotes s= tatistical capacity building (SCB) mainly through financial instruments, ad= visory services, knowledge products, and partnerships. Our activities are c= entred around the implementation of the Marrakech Action Plans for Statisti= cs (MAPS). Main financial instruments are loans and grants. Lending project= s are mostly long term and comprehensive in coverage. The projects typicall= y aim at improved economic and social information for policy making and pov= erty reduction by strengthening planning, statistical legislations, infrast= ructure, human resources, data collection, processing, analyzing, archiving= , and dissemination. A multi-country lending program, Statistical Capacity = Building Program (STATCAP), became operational in 2004 to make investments = in statistical development easier and more effective. It is designed to be = simple to initiate, plan and operate.
=E2=80=A2 A $32 million loan un= der STATCAP for a statistical capacity building program in Ukraine was appr= oved by the Bank's Executive Board in 2004 and is currently being implement= ed. The loan includes finance for organizational and management reform, dev= elopment of statistical infrastructure, modernization of computing infrastr= ucture, technical assistance in various areas, and use of economic data in = analysis and forecasting.
=E2=80=A2 In the Russian Federation as a pa= rt of the STATCAP facility a new $50 million Project for Development of the= State Statistical System (STASYS 2) became effective in April 2008. The pr= oject is now under implementation as a follow up to the STASYS project whic= h was completed in December 2006. For the STASYS 2 Project, the World Bank = finances 20% of the above amount to (i ) enforce further modernization of s= tatistics methodology in compliance with the international standards; (ii) = strengthen development of modern design and technology for statistical data= collection, processing, and dissemination; (iii) ensure enhancement of soc= ial statistics, and (iv) support human resource development in the statisti= cal system.
=E2=80=A2 A STATCAP project for Tajikistan was approved i= n 2006, and currently under implementation. The project is being supported = by co-financing from DFID and SIDA, as well as in-kind contributions from t= he Turkish International Cooperation Agency (TICA). The mid-term review of = the project was conducted in November 2008 with quite positive findings. . = The project is moving on schedule and it is anticipated that all activities= will be completed by the closing date of June 2011.
=E2=80=A2 The Wo= rld Bank manages a multi-donor Trust Fund for Statistical Capacity Building= (TFSCB which aims to strengthen the capacity of statistical systems in dev= eloping countries. It supports: (i ) NSDS projects assisting the preparatio= n of National Strategies for the Development of Statistics (NSDS); and (ii)= Statistical capacity improvement projects aiming at strengthening the capa= city in key priority areas. TFSCB also funds participation of developing co= untry representatives in meetings, seminars and workshops. It has financed = a number of projects in the region and there are currently an NSDS and capa= city building project in Armenia, and capacity building projects in Kyrgyz = Republic and Turkmenistan. In addition, participation of several staff of M= oldovan National Bureau of Statistics in an international conference was re= cently funded.
=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 Nation=
al Statistical Systems in order to increase availability, raise quality and=
improve access to data for developing, monitoring, and evaluating gender p=
olicies; and (ii) increase capacity of users to utilize statistics for poli=
cy making and how to judge the quality and availability of data at the nati=
onal and regional level.
=E2=80=A2 The World Bank maintains a web sit= e on Statistical Capacity Building which provides information on the financ= ial instruments, including STATCAP and TFSCB, advisory services, databases,= and reference materials available in support of statistical capacity build= ing. See
=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 new web-based tool called the "Bulletin Board on Statis= tical Capacity (BBSC)" has been launched on the World Bank website. Th= e tool will help strengthen the capacity of countries, especially IDA count= ries, to compile and use statistics with an overall aim of supporting the m= anagement of development results. Specifically, the BBSC: (i ) presents key= information on national statistical systems collected from national and in= ternational sources, including planning, funding, human resources, census a= nd surveys; (ii) assesses countries' statistical capacity in key areas incl= uding institutional framework, statistical methodology, source data, data p= eriodicity and timeliness through the use of a composite indicator, checkli= sts, maps and charts; and (iii) allows users to provide feedback and update= s easily and quickly with interactive features. The BBSC is available onlin= e at:
There are two TFSCB projects in the pipeline: (i ) project to support UN= ECE led training activities to improve the capacity of the National Statist= ical Offices in Central Asia and East European sub-regions in production an= d dissemination of economic statistics; and (ii) project to strengthen sub-= national capacity for analysis of living conditions in Russia. In addition,= it is anticipated that the TFSCB will provide funding to strengthen traini= ng programs for the national statistical offices of the Commonwealth Indepe= ndent States in the coming year.=20