Evaluating quality involves different steps depending on the complexity of the study data. For instance, in large observational studies, data may be collected across databases, and many examinations may be conducted where participation varies. Depending on the formal data structure, different analysis options may apply. To illustrate such cases, we use data from the Study of Health in Pomerania, START cohort, baseline examination (SHIP-START-0, 1997-2001). For further information on SHIP see Völzke et al. 2010. The example data and metadata are available here. See the introductory tutorial for instructions on importing these files into R, as well as details on their structure and contents.

Reporting data quality for SHIP can be divided into:

See the metadata tutorial for an overview of the needed metadata in each case.

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