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Data collection is important for the efficient running of production systems in small and medium-size enterprises (SMEs).
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For performance evaluation of a system, data collection is important, and for the data collection, measuring instrument is needed.
For systemic problems, data collection is important.
The numerical data collected are important for statistical power, and collection can be achieved in different ways: (i) by having sufficient cases in each group, (ii) by assessing several brain areas if there are not enough cases, (iii) by collecting enough individual data within each case, or (iv) by doing a combination of these.
The question of how to integrate data collection activities is important for all HDSS sites across the world.
The idea of using the registration book as the instrument for data collection is critically important.
Digitization of collection data is important for invasive species researchers who may want to use these collections, and the linking of many collections through a data portal or centralized database increases the power of available data.
Data collection is a very important step in grounded theory.
Data collection is in progress for winter 2015.
A combined analysis of data from several centres (studies), which is based on a detailed protocol before data collection is started, is an important design for future prognostic marker research.
An important concern with long-term user data collection is securing personal privacy for the participants.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com