Examples of using Data from different in English and their translations into Russian
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Official
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Colloquial
It is vital that countries have introduced a common identification number before they can combine data from different administrative sources.
Integrating and combining data from different sources is important in particular in the context of measuring the multi-dimensional aspects of poverty,
Work with several pairs(several program instances and several title elements correspondingly) if necessary to display data from different screen areas.
As an alternative, the integration of data sets by combining data from different sources will contribute to the further reduction of the statistical burden.
respect the Agent's Triangulation and cross check data from different sources Source, Agent& Provider.
As data from different sources are processed using different methods to identify land cover classes
interoperable data from different regions.
it can be difficult to compare or combine data from different surveillance systems.
It is even more difficult if data from different sectors(Ministries) are needed,
challenges to integrating data from different sources and certain elements of the process of data collection.
Characteristics included in the REGON official register(some of these characteristics are updated with data from different sources);
to be able to compare the data from different sources and countries.
Thus such information systems should combine data from different sources, including topographic maps
Address the difficulties in matching data from different statistical domains 1 2 2 Start as soon as possible.
Important challenge is to have an information system in place and compile the data from different sources.
Adoption of the IMIS is a way to obtain data from different sources: census,
combining and validating data from different sources, including existing
Important challenge is to have an efficient information system in place to allow compiling the data from different sources.
Furthermore, it is not possible to interlink data from different databases in order to conduct more complex data analyses.
combining data from different sources to provide a coherent picture can be methodologically challenging due to variations in concepts and definitions.