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These data collection methods are therefore difficult to scale to enable large clinical studies.
Traditional paper-based data collection methods are unable to capture clinical work complexity and communication patterns.
The primary data collection methods are ethnographies, household surveys and semi-structured individual interviews in the communities.
This is perhaps one of the main reasons why automated data collection methods are more advanced for motorized traffic.
The effect of recent technological advances on data collection methods are discussed as are the growing opportunities for data linkage and the future challenges of providing access to data while protecting confidentiality and privacy.
Advances in computing power and infrastructure, increases in the number and size of ecological and environmental datasets, and the number and type of data collection methods, are revolutionizing the field of Ecology.
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The main data collection methods were the use of questionnaires, observations and interviews.
Ethnographic data collection methods were combined with grounded theory data analysis to explore how cultures, ethnic differences, history, politics, and commercial considerations shaped management controls.
Data collection methods were collaboratively created and refined.
In addition, it has become clear that simply "opting out" of Google's data collection methods is not always enough.
Indicators gleaned from the data collection methods were ranked and verified by expert herders.
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