Sentence examples for effective data collection from inspiring English sources
Uncooperative users, such as in criminal cases, pose an additional challenge to effective data collection processes.
Thus, these researches construct the effective data collection architecture based on the graph model transferred from the predefined mobility profile.
As conservation resources are limited, monitoring methods are required that enable rapid and cost effective data collection.
Some core technologies are needed to solve the problem in big data, such as effective data collection and storage and data mining techniques and anomaly detection method.
In particular, we consider the research question: "Does mobile gamification enable effective data collection for pedestrian cartography?" Our App employees peer-review to reward-ban good-bad behavior.
A longitudinal (2-months) field study of the mobile application confirmed that gamification facilitates effective data collection for producing pedestrian cartography even with few users and demonstrated that gamification infuses a shared responsibly about the quality of data collection.
Design of a cost-effective data collection scheme, i.e., data-worth analysis, requires quantifying model parameter, prediction, and both current and potential data uncertainties.
To gain this understanding, resource professionals need efficient and cost-effective data collection methods that can operate over vast and isolated landscapes.
The main challenge now faced is to build and maintain organised and functional behavioural and second generation surveillance systems across Europe, to increase collaboration, to promote robust, sustainable and cost-effective data collection methods, and to harmonise indicators.
The rapid implementation of cost-effective data collection systems in developing countries is a key priority if global public policy to promote health is to be more effectively informed.
RDS is clearly valuable as a cost-effective data collection tool for hidden populations, especially in circumstances where researchers themselves may have limited means or knowledge to access those populations.
