This piece focuses on the critical aspects of planning and executing data migration when clinical trial management systems (CTMS) or similar systems are upgraded or replaced. It highlights the complexities involved due to the nature and volume of clinical trial data, the necessity of a well-defined migration strategy, and the key elements that contribute to a successful data migration project. View the full PDF download here to see all eight recommendations to successfully complete a clinical trial data migration.

8 Key Considerations for Migrating Your Clinical Trial Data

Planning, executing and tracking clinical trials is a significant endeavor for any company conducting drug research. Often trials, or the materials collected for the trials, can linger for years. This means systems that are used to monitor these trials and inventories over time can become obsolete or in need of a significant upgrade.  

With this challenge also comes the need to determine whether data associated with legacy trial management systems needs to be migrated to a new system or version. Before the planning and implementing behind migrating your clinical trial data, it’s necessary to understand the processes and types of data that might be involved.  

It’s significantly important to understand the complexities and critical importance of thorough planning for clinical trial data migration projects. These key insights emphasize the need to understand the diverse types of data involved, conduct comprehensive assessments and data mapping exercises, define clear requirements for data translations and transformations, and develop a well-considered migration strategy and plan. By addressing these key elements in planning, organizations can effectively migrate their valuable clinical trial data to new systems, ensuring data continuity, accessibility, and the ongoing success of their laboratory or clinical information management endeavors. 

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Contributions by Frank Kovach and Stephanie Bankes