Educational Clinical Research Resources

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Improving Data Quality Featured Series

While complete, accurate, timely and organized data is a standard to strive for, it’s often very difficult to achieve at large research organizations. Duplicate data entry, user error, miscommunication and lack of collection requirements can all impact data quality and scope and lead to varied levels of data integrity. However, with the right tools, processes and workflows, better data is still within reach. This series offers tips, resources and best practices for creating effective data practices at your clinical research organization.