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Data cleaning, the critical first step? Before scientists can harmonise data, they must clean it. By elim- inating the errors that arise from dataentry, miscalculations, sensor malfunctions, or system glitches, scientists can build the data foundation required for harmonisation.
During migration, the case processing team will manually enter the data using the outputs obtained from the source database, following the workflow configuration, to ensure accuracy within the target database.
incorrect dataentry). 1 – No chance of occurrence 2 – Chance of occurrence is remote 3 – Occurrence is unlikely 4 – Occurrence is probable 5 – Occurrence is definite Overall risk score: Severity X Probability The tool can also be used for analysing a manufacturing process to identify high risk steps / critical parameters.
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