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Preparing Your Data

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Last Modified: November 7, 2019

Data Preprocessor instances harmonize identifiers, values, and units of the raw data based on specifications you define. Data harmonization means standardizing data from various file formats and naming conventions to make the result of the ensuing data analysis consistent and comparable for a report. In addition, you can specify the calculation of characteristic statistical values and define rules according to which a Data Preprocessor instance verifies and validates the data. You define the individual steps for data harmonization in a data preparation procedure in DIAdem, which you upload to the Data Preprocessor instance. In SystemLink 19.6, you can load all data preparation procedures created in DIAdem 2019 or earlier versions. The Data Preprocessor instance allows you to configure processing schedules and the reaction to file changes, manage raw data areas and DataPlugins, and initiate manual processing.

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