Examples of using Quality of the data in English and their translations into Russian
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Quality of the data.
This means that the quality of the data is constantly increasing.
Adding gender will adversely affect the quality of the data.
Furthermore, the quality of the data can be questionable.
Validation is an important tool to ensure the quality of the data.
People also translate
Improved quality of the data in strategic human resources areas.
Research to improve the quality of the data will continue.
There are also some implications for managing the quality of the data.
Measuring the quality of the data is important for two reasons.
Further work was thus needed both on the quality of the data and the definitions.
In general, the quality of the data on non-hazardous industrial waste was hard to validate.
Importantly, this methodology offers the opportunity to improve the quality of the data.
To ensure quality of the data, they are validated before final data uploading.
In general, the regular assessments help to improve the quality of the data and information.
They are being used to monitor the quality of the data and will be further refined.
It is also important to ensure the quality of the data or information used in the report.
Inclusion only of reviews published in peer-reviewed journals ensured quality of the data.
An important goal of validation was to improve the quality of the data over time.
Consequently, it will need to put in place processes and structures to safeguard the quality of the data in compliance with various policy objectives, to ensure data longevity, to build partnerships with service contributors and custodians of data and information, and to foster consistency across the deliverables of the Platform and their sharing through the development of standards and guidelines.
In general, the regular assessments help to improve the quality of the data and information.
In these cases there was no information to indicate what measures had been taken to ensure the quality of the data.
Failure to adhere to these measures can compromise the quality of the data and put respondents and interviewers at risk of physical or emotional harm.
This survey underlined the problems of coherence,availability and quality of the data.