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Such predictions are a crucial challenge in economics, too, and they are why data collection need not be a dull or a routine field.
However, while good experimental design is key, de novo data collection need not be.
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In collective or multiple case studies, data collection needs to be flexible enough to allow a detailed description of each individual case to be developed (e.g. the nature of different cancer care programmes), before considering the emerging similarities and differences in cross-case comparisons (e.g. to explore why one programme is more effective than another).
Recommendation 3: Given the varying data collection needs of different evaluation approaches and the need to collect baseline data in the case of some approaches, it is crucial that monitoring and evaluation are built into the intervention from the beginning.
Given the varying data collection needs of different evaluation approaches and the need to collect baseline data in the case of some approaches, it is crucial that monitoring and evaluation are built into the intervention from the beginning.
We can never make assumptions and the data collection needs to be very carefully managed.
Data collection needs to be revised to reflect this approach.
A more pragmatic data collection needs to balance the delivery of highly accurate and complete data with minimizing the level of interference that data entry and verification induce with clinical practice.
Whether the molecule or the name should be trusted preferentially, and if there are conflicts within either of these, which source has precedence, means that each data collection needs a complex and elaborate policy for judging data quality.
Data collection needs to focus on user accounting what user information is stored where, how to uniquely identify users consistently, what the user consented to, and how to capture consent.
Given the limitations of BMI as an imperfect measure of body fatness, routine anthropometric data collection needs to be extended to develop more informative measures, such as waist circumference in settings where the gold standard tools remain unaffordable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com