Data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes.
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Data capture is the process of collecting data which will be processed and used later to fulfil certain purposes. Ways of capturing data can range from high end technologies to low end paper instruments used in the field.
Determining what is or is not plausible early in the planning phase is crucial so that appropriate checks can be put in place e.g. identify and query out-of-range, or invalid data. Computer systems can be programmed to identify outlying data or impossible relationships between different data.
Through this facility research sites can register and let would-be collaborators and sponsors know about them, their previous experience and what type of research they would like to take part in. In turn, research groups wishing to find other sites to collaborate with can post their research plans and explain what they are looking for in terms of disease prevalence perhaps, or was facilities a research site has.
These free, certificated and recognised courses are provided to give a general introduction to many of the key steps involved in setting up a study they include short topics such as Good Clinical Practice, Good Laboratory Practice and longer modular courses and cover many of the required steps such as setting the question, data management and community engagement.
The Process Map is a cross-cutting tool that guides the process of setting up a study and provides links to explanations about each component step and any tools, templates and training that exist on each step.