Master Data Management (MDM) helps scientists and research organizations maximize the value of their data by applying data governance practices that combine people, processes, and technology to reduce ambiguity and improve consistency. By creating a trusted source of critical information, MDM minimizes wasted time spent searching for, validating, or reconciling data across multiple systems. As R&D environments become increasingly complex and organizations adopt more informatics platforms, the importance of MDM continues to grow. It enables effective management of data used by diverse stakeholders, supports integration across systems, and improves data quality, accessibility, and usability. By establishing standardized data definitions and governance practices, MDM enhances collaboration, s

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