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Some of the common approaches for data collection include: collecting results from search engines, using web services to access content or creating web crawlers to extract relevant pieces of information from web pages.
Methodologies and approaches for data collection and analyses were designed specifically for each of the two countries.
These contradictions illustrate that the benefits and challenges to using diagramming approaches for data collection depend on the application and type of diagram used in each research study.
We used two main approaches for data collection: focus group discussions (FGDs) with clients (6) and in-depth individual interviews with providers (6).
All sites used a 6-month follow-up period but different approaches for data collection, namely standardized questionnaires filled out by participants or face-to-face interviews.
Related to the visual organization and structure of knowledge that the diagrams presented, an advantage to using diagramming approaches for data collection is their ability to obtain unique and unsolicited data[ 7, 14, 15, 26, 29, 33, 42, 43, 58].
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A systematic approach for data collection was therefore proposed, since this is a key step to apply the equation correctly.
We also explore an alternative approach for data collection that operates on longer time scales and relies only on localised decisions rather than centralised computations.
Using the pixel nested plot approach for data collection can facilitate the ecological monitoring of these vulnerable areas at the landscape scale in a time- and cost-effective manner.
This makes WSN a competitive approach for data collection comparing with its wired counterpart.
We use a case study approach for data collection, particularly through document study, participatory observation and qualitative in-depth interviews.
More suggestions(17)
methodology for data collection
angle for data collection
strategy for data collection
approaches for data preprocessing
approaches for data aggregation
approaches for data annotation
approaches for data reuse
approaches for data handling
approaches for data reduction
approaches for data way
approaches for data analysis
approaches for data exploration
approaches for data integration
approaches for data validation
approaches for data hiding
approaches for data query
approaches for data mining
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