Examples of using Data quality issues in English and their translations into Russian
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Data quality issues.
Methods for developing the progress report, including data quality issues.
Data quality issues for migrant estimates in surveys(output: technical working paper);
Mechanism is in place to rapidly respond to data quality issues.
A number of data quality issues were identified in the information provided by reporting entities.
In the case of CONS-O-3 andCONS-O-4 there were no major data quality issues.
It was also noted that such data quality issues were likely to be at the vessel level rather than at the nation or fleet level.
The main problems encountered were either the lack of data or data quality issues.
Uncertainties, data quality issues and other items critically affecting results; indication of potentially missing flows;
Data are therefore often adjusted in order to take into account these data quality issues.
This assumes that the census agency completely understands andcan fully anticipate all data quality issues that might arise during the census and has included these in the specifications.
Based on anomalies cited from the cobbled together management reports,identified significant data quality issues.
However, given the strong nation effects in the model, and other possible data quality issues, it was difficult to determine what additional fleets should be included in future assessment runs.
Work programme, including the prioritization of work on the various conceptual, measurement and data quality issues;
A schematic framework is being developedto examine the conceptual, measurement and data quality issues related to international trade and economic globalization.
The interpretation of statistical patterns and trends should therefore be conducted with caution, andthe comparisons of regions need to take into account data coverage and data quality issues.
It was also suggested that the seminar should focus on statistical and data quality issues rather than on research and policy issues; .
In order to address data quality issues identified in the information provided by reporting entities, as outlined above, logical and statistical methods have been applied to increase reliability of the analysis.
For example, the Committee might wish to request that the Task Force provide observations orsummary reports on specific data quality issues that might have arisen during the review process.
Some methods of addressing data quality issues include targeted training in survey quality assurance, applying specialized assessment frameworks, and introducing user-friendly packages for data editing.
Several capacitybuilding activities on Millennium Development Goals have been organized to address existing data gaps and data quality issues related to the Millennium Development Goal indicators.
UNDP will review data quality issues and provide clear guidelines for the effective use of the procurement dashboard at its offices and headquarters as a management oversight/monitoring tool.
Regular monitoring and evaluation of influenza surveillance is important for countries to understand the functioning of the system,for identifying data quality issues and potential duplication, and for providing recommendations for improving quality and efficiency.
The ABS does issue caveats to users that explain all data quality issues associated with any data set, but this often does not overcome the perception that the data is"pure" just because the ABS has delivered it.
To assess whether these potential outliers are errors in the data, the Regional Coordinators are deepening their analyses of the inconsistencies in the data and organizing a series of regional orsubregional workshops to address data quality issues.
Aim 1 Objectives 1 1.3 Methods for developing the progress report, including data quality issues 2 Framework 2 Indicators and data collection 3 Information system for NCDs in Kyrgyzstan 4 Mission programme 4 Limitations 4 2.
Section III contains the views of the Friends of the Chair group regarding the theoretical scope of the statistics covered by international trade and economic globalization, and section IV describes theschematic framework that organizes the conceptual, measurement and data quality issues.
These countries have an obligation under EC Regulations to report to Eurostat on data quality issues, so it is surprising perhaps that they do not intend to publish such reports for their own domestic purposes.
The categories reflected in the colour coding of the Millennium Development Goal database reflect, for every country andevery year considered, the level of adjustment of the original country data performed by the agency to obtain the desired level of international comparability or to resolve data quality issues.
It can 784. have a crucial impact on data quality by helping to identify data quality issues and by influencing future improvements to the survey process, including question wording, questionnaire flow, approach and methodology.