5.3 Quality frameworks and measurement of performance of statistical systems and officesData Quality Assessment Framework (DQAF)
• The World Bank has been working with the IMF on the Socio-demographic and Poverty modules of the Data Quality Assessment Framework (DQAF). The framework provides countries with a flexible structure for the qualitative assessment of various aspects of the statistical environment and infrastructure in which the data are collected, processed, and disseminated. It also identifies areas requiring technical assistance. The income poverty and education modules have been completed. Modules for health and population are under development.
5.5 Technological resources (including standards for electronic data exchange and data sharing)Statistical Information Collection and Processing
• The World Bank gathers macroeconomic data and projections at least once a year from its country teams in a process known as the Unified Survey. 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 Database (LDB). The LDB is an Excel based system which standardizes the management of macroeconomic information by organizing information into separate sheets by topic and utilizing indicator codes, common layouts, and a variety of formatting, calculation, and reporting tools.
• 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, which 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 standards (see
o Exchange protocols, such as GESMES/CB which was implemented by central banks for exchanging time series;
o E-standards, such as Extensible Markup Language (XML).
5.7 Technical cooperation and capacity building programmesStatistical Capacity Building
• The World Bank Development Grant Facility provided grants to UNECE 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 improve access to data for developing, monitoring, and evaluating gender policies; and (ii) increase capacity of users to utilize statistics for policy making and how to judge the quality and availability of data at the national and regional level.
• The Development Gateway Foundation initiative, in which the bank works together with the DGF and the IMF, is aiming at the development of a portal website on development issues, from which users will be able to access information, resources and tools, and into which they will be able to contribute their own knowledge and experience
• The Country Statistical Information Database provides information on national statistical systems useful for assessing statistical capacity and monitoring progress in statistical capacity building in developing countries. The database contains information encompassing various aspects of national statistical systems and operations, such as statistical law, national statistical strategy, statistical practice, censuses and surveys, national statistical agencies and publications, , and World Bank statistical projects. It also includes a country-level composite statistical capacity indicator based on evaluation of countries against a set of criteria in the areas of statistical practice, data collection and indicator availability, consistent with international recommendations. In addition, the database allows for cross-country comparisons of selected indicators. See
• The World Bank provides funding to PARIS21 from its development Grant Facility for the implementation of the Accelerated Data Program (ADP), jointly implemented with the World Bank Data Group. The ADP provides support to countries in the areas of microdata documentation, dissemination and preservation. The Russian Federal Service of State Statistics (Rosstat) was introduced to the software and practices promoted by the ADP.
• A new web-based tool called the "Bulletin Board on Statistical Capacity (BBSC)" has been launched on the World Bank website. The tool will 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 information 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 institutional framework, statistical methodology, source data, data periodicity and timeliness through the use of a composite indicator, checklists, maps and charts; and (iii) allows users to provide feedback and updates easily and quickly with interactive features. The BBSC is available online at:
There are two TFSCB projects in the pipeline: (i ) project to support UNECE led training activities to improve the capacity of the National Statistical Offices in Central Asia and East European sub-regions in production and 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 training programs for the national statistical offices of the Commonwealth Independent States in the coming year.