Examples of using Data comparability in English and their translations into Arabic
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Political
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
Data comparability.
Consultant guidance for data comparability.
Data comparability remains an important issue.
(v) Promote data comparability;
Data comparability within or among programmes is at best limited to output level.
People also translate
Consultant guidance for data comparability.
Furthermore, data comparability and reliability should be improved.
Relative uniformity in the formulation of questions ensures better data comparability across censuses.
Ensuring data comparability between various air monitoring programmes is difficult, given the numerous sources of uncertainty.
Only the Sri Lankan country office developed standard assessment templates to ensure data comparability.
Data comparability and quality issues continue to hinder monitoring of progress and evidence-based policymaking in this area.
This clearly points to the need totake up actions to improve both the response rate and data comparability.
Existing programmes contained procedures to ensure data comparability within the programme, taking into account constraints related to the use of various analytical laboratories.
This clearly points to the need totake up actions to improve both the response rate and data comparability.
Useful additional informationwould have been distribution data; but data comparability problems made the use of distribution and poverty estimates difficult at this stage.
Only its country office in Sri Lanka haddeveloped standard assessment templates to ensure data comparability.
(e) Developing guidance for data comparability, taking into account the guidance document prepared by the Chemicals Branch of the Division of Technology, Industry and Economics of the United Nations Environment Programme(UNEP Chemicals);
International standards need to be analysedand adapted to the national context in such a way that regional and international data comparability is rendered possible.
Among these are data comparability and consistency, weak institutionalization of information systems, insufficient funding, shortage of skilled personnel, and suitable repackaging of information for decision makers and the public.
The RSDS would identify regional strategies and activities that would harmonise conceptual frameworks, methods,and toolsfor ensuring data comparability.
The Expert Group supported the Committee in its continuing emphasis on data comparability, reliability, comprehensive availability, transparency, satisfactory methods of filling in missing data and, in some cases, the availability of long time series.
The project focuses on intercountry comparability of relevant national data on standardization andmonitoring methods and data comparability.
The framework includes all current relevant international statistical classification systemsand standards in order to maximize data comparability and the potential for using existing surveys to measure culture.
The low response rate and the different national approaches used for measuring and assessing land productivity revealed the need totake action to improve both the response rate and data comparability.
The Expert Group agreed that this measurement should take several key areas into account, which would focus not only on the strict adaptation of the coding structure,but also on data comparability and use of the classification.
The Committee noted that the lack of a common definition and common criteria for identifying anddelineating areas affected by DLDD resulted in limited data comparability.
There is a need to improve the production and dissemination of statistics in the region, bring the national statistical systems in line with the Fundamental Principles of Official Statistics anddevelop methodologies for improving data comparability at the regional level in social, economic and cross-cutting issues.
(a) Undertake a review of current practices in the measurement of poverty with a view to determining the principal approaches, concepts, sources of data and use of poverty indicators,and the degree to which data comparability exists;
The Task Force makes recommendations based on the framework mapping exercise and analysis of the interview and survey responses, while taking into account feasibility,relative importance for reducing country reporting burdens and improved data comparability.
The trend towards a more active use of the non-customs sources should be carefully examined in order to see whether appropriate international recommendationsare needed to ensure the best possible data comparability and promotion of good practices.