As an integral part of the international community, the World Bank worksclosely with other international agencies, regional development banks, donors,and other partners to:
The World Bank offers technical assistance and financial support forstatistical development to its member governments. Training and seminars arealso provided. For more information on training, contact theDevelopment DataGroup or theOpen Learning Campus. Programs include:
TheOpen Government Data Toolkit is designed to help governments, Bank staffand users understand the basic precepts of Open Data, then get “up to speed” inplanning and implementing an open government data program, while avoidingcommon pitfalls.
The World Bank works to improve the quality, timeliness and relevance of national and international statistics to better support fighting against poverty and to increase the statistical capacity of client countries and international partners. We provide a variety of services, including advice and support for projects, management of partnership activities, and financial resources. The main statistical capacity program is the Global Data Facility:
The Global Data Facility is an innovative global funding instrument that enables long-term support and durable transformation of data systems and data capital in low- and middle-income countries to improve lives and safeguard the planet. The Global Data Facility is part of a new data financing architecture established through a unique partnership between the World Bank, United Nations, and development partners to mobilize at least $500 million and coordinate support for the world’s most critical data impact opportunities by 2030. Learn more atworldbank.org/global-data-facility.
The mission of theInternational Household Survey Network (IHSN)is to improve the availability, accessibility, andquality of survey data within developing countries, and to encourage theanalysis and use of this data by national and international developmentdecision makers, the research community, and other stakeholders.
The International Comparison Program (ICP) is a worldwide statistical initiative—the largest ingeographical scope, in implementation timeframe, and in institutional partnership. It estimatespurchasing power parities (PPPs) for use as currency converters to compare the size andprice levels of economies around the world. The 2011 ICP round covered 199 economies from eight regions.
At the beginning of each fiscal year, the World Bank Development Data Groupprovides a status report on the external debt of each country that is an activeborrower. The report includes an assessment of the adequacy of debt-reportingarrangements and the nature of any inadequacies (e.g., lack of staff, dataproblems, inadequate administrative arrangements, simple neglect).
The Quarterly External Debt Database, jointly developed by the World Bank andthe International Monetary Fund, brings together detailed external debt datathat are published individually by countries that subscribe to the IMF’sSpecial Data Dissemination Standard (SDDS).
Jointly developed by theBank for International Settlements, theInternationalMonetary Fund (IMF), theOrganization for Economic Cooperation and Development(OECD) and the World Bank, the Joint External Debt Hub (JEDH) brings togetherexternal debt data and selected foreign assets from internationalcreditor/market and national debtor sources.
SDMX stands for Statistical Data and Metadata Exchange-the electronic exchangeof statistical information. Its goal is to explore e-standards that could allowus to gain efficiency and avoid duplication of effort in our own work andpossibly in the work of others in the field of statistical information.The BIS,ECB, EUROSTAT, IMF, OECD, UN, and the World Bank have joined together to focuson business practices in the field of statistical information that would allowmore efficient processes for exchange and sharing of data and metadata withinthe current scope of our collective activities.
The Sponsoring Institutions created common (SDMX) technical and statisticalstandards and guidelines, together with an IT architecture and IT tools, to beused for the efficient exchange and sharing of statistical data and metadata.
Standardized file formats for data and metadata and standardized contents ofthese files are the pre-condition for the automated production, processing andexchange of SDMX data and metadata files between national and internationalstatistical organisations.
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