Improvements in the quality and quantity of statistical data on all aspects of development are essential if we are to achieve the goal of a world without poverty. Good data are needed to set baselines, identify effective public and private actions, set goals and targets, monitor progress and evaluate impacts. They are also an essential tool of good government, providing a means for people to assess what governments do and helping them to participate directly in the development process. 1. Methodologies for Using Data 2. Data Quality and effectiveness General Data Dissemination System (GDDS)
The GDDS is a framework for assessing national statistical systems and promoting improved dissemination and effectiveness that has been developed by the IMF, in close collaboration with the World Bank. It (i) encourages countries to improve the quality of official statistics; (ii) provides a framework for evaluating need for data improvement and setting priorities for statistical development; and (iii) guides participating countries in the public dissemination of comprehensive, timely, accessible and reliable economic, financial and socio-demographic statistics. Data Quality Assessment Framework (DQAF)
The DQAF has been developed by the IMF, in collaboration with the World Bank as a methodology for assessing data quality that brings together best practices and internationally accepted concepts and definitions in statistics, including those of the United Nations Fundamental Principles of Official Statistics and the GDDS. It facilitates a comprehensive view of data quality, one that recognizes interrelations, including tradeoffs, among elements of quality and allows emphases to vary across data categories and uses/users.
3. Country Statistical Information Country Statistical Information Database aims to facilitate assessment of statistical capacity and monitor progress in statistical capacity building in 144 developing countries. The database contains information encompassing various aspects of national statistical systems and operations, such as statistical law, national statistical strategy, statistical practice, data collection activities, national statistical institutions and publications, and World Bank statistical projects. It also includes a country-level statistical capacity indicator and links to useful web resources. 4. Statistical Capacity Building The PARIS21 Consortium was set up in 1999. It is a world-wide partnership, involving government agencies, international organizations, professional bodies and academic institutions. It aims to boost statistical capabilities in developing and transition countries, by promoting a culture for setting and monitoring policy based on evidence, and by fostering well-managed national statistical systems that use resources effectively. Trust Fund for Statistical Capacity Building The Trust Fund for Statistical Capacity Building (TFSCB) is a global funding facility, managed by the World Bank on behalf of donors, to strengthen the capacity of statistical systems and to make investments at the national, regional and global levels to improve the collection, processing, analysis, storage, dissemination and use of timely, good quality statistics to support poverty reduction and economic and social development.
5. International Comparison Program (ICP) & Purchasing Power Parity (PPP) Internationally comparable data are crucial to forming sustainable policies and monitoring progress. Purchasing Power Parities account for price differences between countries and so measure real quantities. |
RSS