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Data collection is an essential part of building an emerging people-centric sensing system [1, 4, 5].
For example, timing of data collection is an essential factor when monitoring the impact of local policy changes or community initiatives, which may not coincide with national survey data collection (Mansfield and Wilson 2008).
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Linking qualitative and quantitative data collections is a first step.
Benchmarking quality of care is a highly relevant issue and standardization of data collection is essential.
With data being collected across many sites, the use of a manual to guide data collection is essential to ensure data integrity.
A valid and reliable instrument for data collection is essential (Donoghue et al.20102000).20102000
Some results, such as a large agreement of the respondents that data collection is essential – "if you cannot measure it, you cannot improve it" - extend beyond the issue of VAP prevention.
Dr Adam Kucharski, lecturer in infectious disease epidemiology at the London School of Hygiene & Tropical Medicine explained how we can observe the transmission of Zika and why data collection is essential: "Like most infectious diseases, we can rarely observe Zika transmission directly.
Traffic data collection is essential for performance assessment, safety improvement and road planning.
Given the resource implications of using HEMS, robust service data collection is essential to investigate HEMS efficiencies and patient impact.
Comprehensive and validated ethnicity data collection is essential if we are to reduce inequalities in health and access to healthcare services.
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