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In this step, the aim is to gain more insight into the existing data, or the data that you aim to collect. Clearly defining the meaning (semantics) of the data is an important step for creating the semantic model (https://health-ri.atlassian.net/wiki/spaces/FSD/pages/277839878/Metroline+Step+Create+or+reuse+a+semantic+meta+data+model ), as well as for data collection via e.g. eCRFs (Metroline Step: Design eCRF (data collection)) [De Novo].
To understand “semantics”, data values (i.e., meaning of data elements), data representation (format), and structure information (i.e., relationship between data elements) should be analysed.
The goalis a set of data elements with clear and unambiguous semantics, which reflect the information you want to collect or share.[FAIRopoly]
Why is this step important
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