Примеры использования Data collection systems на Английском языке и их переводы на Русский язык
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Official
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Colloquial
Data collection systems.
Fully operational data collection systems.
Data collection systems at national level should be unified.
Strengthened national data collection systems.
Police-based data collection systems need to be strengthened in all countries worldwide.
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This requires solid data collection systems.
Programme data collection systems do not contain clients' personal, or identifiable, information.
It noted improvements in data collection systems.
Current data collection systems in EU Member States differ, and derived indicators are often not comparable.
Maintaining agricultural data collection systems.
Data collection systems should be enhanced by building on existing national, regional and international systems and experiences;
Countries are doing their best to improve the data collection systems.
New or enhanced data collection systems in place in 25 countries.
The number of Member States with operational data collection systems in place.
Member States' data collection systems should be developed in close cooperation with all those concerned, including civil society organizations.
The permanent settlement paradigm not only still defines policy but also data collection systems.
The IMTS in the EU is based on two data collection systems, called Intrastat and Extrastat.
There could be a lack of suitable data, even in countries with highly developed data collection systems.
The IMTS in the European Union is based on two data collection systems called Intrastat and Extrastat.
These areas can also be used to diagnose the main gaps in existing national data collection systems.
The use of automated equipment and data collection systems is transforming the way border agencies operate.
As a second step, the usefulness of the existing statistics for climate change analysis should be improved by reviewing existing data collection systems.
The Government is trying to implement more strident data collection systems in the State sector.
Automated data collection systems reduce overlaps when the same information is collected by more than one agency- and on both sides of the border.
It provides framework design,standards, intercalibrations and data collection systems for global monitoring and data evaluation.
It was recommended that data collection systems should be improved and that they should use qualitative and quantitative data from as many sources as possible.
Some TBFRA categories do not exist in national forest inventory and data collection systems of individual countries, e.g. OWL or FAWS in Australia;
Countries should consider these five areas within the framework of their own national road safety strategy,capacity and data collection systems.
Such alternative data collection systems have been viewed as reasonable interim substitutes for civil registration, with the exception of the assessment of causes of death.
The key to achieving meaningful progress in making quality data available is capacity-building to improve data collection systems in regions where current reporting is poor or non-existent.