Examples of using Data quality assessment in English and their translations into Russian
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Colloquial
Data quality assessment in national accounts.
International Monetary Fund Data Quality Assessment Framework.
Data quality assessment and analysis approaches and tools.
The Global Fund andother agencies have recently developed a data quality assessment tool.
Data quality assessment, harmonization, storage and dissemination.
Supported the preparation of the data quality assessment framework for external debt statistics.
Data quality assessment is carried out according to the quality concept of European statistics.
Prepare a preliminary assessment of available data on emissions/discharges(including data quality assessment);
The data quality assessment framework of IMF for assessing data quality. .
Acknowledged the effort of the Task Force towards assisting IMF in developing a data quality assessment framework.
The Data Quality Assessment Framework is a process-oriented quality assessment tool.
The Task Force will assist IMF in the development of a data quality assessment framework for external debt statistics.
The costs of data quality assessment can be significant depending on the degree of validation being carried out.
A general data management mechanism should be established which includes the creation andupdating of databases, data quality assessment, and so on.
In particular, alignment with the IMF Data Quality Assessment Framework and/or the European Statistics Code of Practice is desirable.
They have also been considerably expanded, with the inclusion of new topics dealing with data sources and data compilation methods,approaches to data quality assessment, metadata and dissemination policies.
The data quality assessment framework is kept up to date, reflecting best statistical practices as they evolve and reinforcing the links with work by other organizations in this domain.
Both standards have a section on integrity,which has been further specified in the IMF's Data Quality Assessment Framework DQAF, Generic Framework July 2003.
For instance, the International Monetary Fund has the Data Quality Assessment Framework; Eurostat has committed itself to ensuring that the principles of the European Statistics Code of Practice are respected.
At an international level, the quality concepts, e.g. Eurostat's Quality Concept andIMF's(International Monetary Fund) Data Quality Assessment Framework, are quite similar, and only minor differences exist.
UIS uses an evaluation model that begins with the IMF data quality assessment framework(DQAF), specifically its structure for assessing practices and its dimensions and prerequisites of data quality. .
In addition, UNICEF and UNESCO have embarked on a project for the development and application of a technical assistance package for the compilation andanalysis of indicators for monitoring progress on primary education and data quality assessment in five African countries.
All NSSs in the ESCAP region should, by 2020, use an internationally recognized quality assessment framework,such as the IMF's Data Quality Assessment Framework(DQAF), to assess the quality of the economic statistics systematically and periodically.
A systematic, long-term programme of methodological research should be initiated to produce guidelines in a number of areas, including data collection, data capture,data editing, statistical disclosure control and data quality assessment.
The World Bank will work with the IMF on the Socio-demographic and Poverty modules of the Data Quality Assessment Framework(DQAF) to develop questionnaires for evaluation of the quality of data in the above mentioned areas and will participate in the field missions to test the questionnaires.
WHO has expanded its work on standards and tools for health facility information systems, including analysis and use of health facility data for regular country health reviews, standardization of the content of web-based reporting systems,systematic data quality assessment tools, and health facility surveys.
The second proposal is oriented along the same lines as the IMF Data Quality Assessment Framework, the section covering quality assurance practices being presented in terms of the prerequisites of quality and the five quality dimensions of the IMF framework at the second(element) level of its hierarchy.
This note provides brief discussions of the evolving scope of MFS; overview of statistical frameworks and methodology, including data collection and dissemination;the IMF's Statistics Department's(STA) Data Quality Assessment Framework; supra-national institutions that deal with financial sector statistics; and recent methodological developments affecting MFS.
The Data Quality Assessment Framework(DQAF) of the IMF84 insists that“products of statistical agencies/units are clearly identified as such”, or, in other words, that comments by other units than the NSI, whether they contain policy-prescriptive comments or not, are clearly separated from NSI products.
In consultation with other Task Force agencies, IMF produced in June 2005 the external debt data quality assessment framework, which contains good statistical practices that encompass governance of statistical institutions, core statistical processes and statistical outputs.