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Data scrubbing is a crucial step in preparing datasets for the EMu management system. This process ensures the accuracy, completeness, and consistency of data before migration. It involves identifying and correcting errors, standardizing formats, and removing duplicates. A well-prepared dataset enhances the efficiency of EMu, enabling organizations to manage collections more effectively. In this guide, we outline best practices for data scrubbing, tools to use, and tips to ensure a seamless transition to EMu, ultimately facilitating better data management and retrieval.
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