Sentence examples for how to improve data from inspiring English sources

If the ideas generated last year, in the report of the UN secretary general's independent expert advisory group (Ieag) and elsewhere, about how to improve data production and use are to become real, then they will need investments.

Ongoing meetings where registry personnel discuss how to improve data quality and conduct audits as quality control measures are also training opportunities.

Theses approaches should be strengthened and further developed: DevInfo is an important project which may provide important lessons on how to improve data collection and analysis at municipality levels and how to strengthen vertical integration into national monitoring systems.

Data management skills covered demonstration of the software installation, data collection and cleaning, data transfer and storage and data interpretation as well as hands on use of the data extraction tool and practical examples on how to improve data quality.

This article fills this gap by providing specific recommendations for how to improve data-informed decision making by suggesting domains of activities and by providing examples of how they have been applied in other contexts.

Further efforts should focus on broader adoption of electronic death reporting to capture a larger percentage of deaths, educating physicians about how to complete death certificates to improve data quality, and evaluating the sensitivity and specificity of this aberration detection algorithm.

Thus, there is practical motivation and interest to investigate how to improve the data rate and transmission reliability of HSR communication systems efficiently to address the different requirements of data transmission.

Distinction of different types of long-branch effects as defined herein will help to decide how to improve molecular data sets.

To improve data flow and operational efficiencies?

Working Group 1 (UNISDR 2016b) focused on how to improve methods, tools, data, and communication systems related to early warning and hazard monitoring, and in particular on how to align the risk research agenda with the needs of modern DRR.

The key insight, Grejner-Brzezinska says, occurred when she and her team were trying to figure out how to improve the positioning data from the Global Navigation Satellite System, which can be thrown off by ionospheric disturbances between the satellites and their ground-based receiving stations.