Clinical research generates large amounts of data that needs to be closely monitored and managed to ensure patient safety, data integrity, and regulatory compliance. As clinical trials become more complex with the use of advanced technologies, effective data management has become more critical than ever before. This guide will provide a comprehensive overview of data management in clinical research and best practices for 2024. What Is Data Management in Clinical Research? Data management refers to the handling of data in clinical trials—including collection, cleaning, storing and analyzing. The data managers are responsible for building databases to capture, validate, clean, lock, code and analyze the data from sites. This includes patient data as well as metadata like audit trails. Robust data management ensures completeness, accuracy, validity and consistency of the data. It confirms that the data is reliable and standardized for statistical analysis leading to evidence-based conclus...