在 英语 中使用 The quality of data 的示例及其翻译为 中文
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Finally, the quality of data varies across countries.
Asian countries in recent years have emphasized the quality of data as well.
Furthermore, the quality of data available is very high.
However, a major challenge for fisheries management was the quality of data collected.
For one, the quality of data in India continues to be an issue.
Parties provide positive feedback on the measures taken to improve the quality of data.
Improving the quality of data for Millennium Development Goals indicators.
The quality of data will become just as important as the quantity.
The quality of data is equally crucial for accurate and reliable outcomes.
In addition, there is a need to address issues related to the quality of data and their dimensions, as follows:.
Also, the quality of data submitted to the Register improved considerably.
The quality of data generated plays an important role in the outcome of the study.
Another modification, probably the most important, is the use of the UNCTAD SSTIS,which improved the quality of data.
Improving the quality of data for the Millennium Development Goals indicators.
Veracity The quality of Data captured can vary greatly, affecting accurate analysis.
The quality of data and how accurately a particular indicator measured welfare or human capacity were also discussed.
ICP has invested substantially in new technology over the last year in order toenhance the quality of data and help countries build sustainable statistical capacity.
(e) Reviewing the quality of data and taking steps to establish an architecture for performance monitoring and evaluation that includes:.
Member States are encouraged to adopt policies that improve the quality of data and facilitate the open exchange of information as measures to strengthen preparedness.
However, the quality of data on services is often inadequate for policy development, especially in comparison with data on manufacturing, resources and agriculture.
Although the quality of data has improved, I still think that the process of data selection in India still remains unscientific.
Recording the quality of data- and the methodologies used to determine it- is not only a matter of transparency but also a form of risk management.
Improve the quality of data by providing robust tools for compiling, validating, estimating and analysing data, both at FAO headquarters and at the country level.
Furthermore, the quality of data is also important, since low-quality data may severely lower the performance, even if the model may be good enough.