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Practical Guide to Clinical Data Management, Third Edition

Practical Guide to Clinical Data Management, Third Edition

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Publisher: CRC Press
Author: Susanne Prokscha (Author)
Format: Hardcover
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About Book

ABOUT THE BOOK

Practical Guide to Clinical Data Management, Third Edition by Susanne Prokscha is a comprehensive, practical resource for understanding the processes and systems involved in managing data throughout clinical trials. It explains how clinical data is collected, reviewed, processed, validated, and prepared for analysis and regulatory submission, with particular emphasis on the growing use of electronic data capture (EDC) systems in clinical research.

The book follows the clinical data management lifecycle through three major phases: study startup, study conduct, and study closeout. It covers essential activities such as developing a data management plan, designing case report forms (CRFs) and databases, establishing edit checks, preparing for data collection, monitoring incoming data, resolving discrepancies, and maintaining accurate clinical trial records. It also addresses laboratory data, non-CRF data, adverse event reporting, data transfers, quality control, and database locking.

Beyond day-to-day procedures, the book explores the infrastructure required for effective clinical data management. Topics include standard operating procedures (SOPs), staff training, access control, data security, collaboration with contract research organizations (CROs), and the selection, implementation, validation, and maintenance of clinical data management systems. Additional coverage of coding dictionaries, system testing, change control, data migration, and archiving provides a broader understanding of the technical and operational responsibilities involved.

Designed for clinical data managers, clinical research professionals, pharmaceutical and biotechnology teams, CRO personnel, and students entering the field, this edition offers practical guidance for managing clinical trial information efficiently and consistently. Its structured approach makes it a useful reference for understanding the complete data management process and supporting reliable, high-quality clinical research.

About Author

ABOUT THE AUTHOR

Susanne Prokscha is an experienced clinical data management professional and independent consultant with expertise in clinical data management (CDM) processes, technologies, and systems. She has been involved in the field since the mid-1980s, working both as a consultant and directly with organizations of different sizes. Through this experience, she has developed broad knowledge of clinical studies and the data management systems used throughout clinical research.

Since 2007, Prokscha has focused particularly on developing standard operating procedures (SOPs), managing documentation, and creating training plans for clinical data management and other clinical research and development functions. Her practical industry experience and commitment to improving clinical data management practices inform her approach to explaining the processes, systems, and responsibilities involved in managing clinical trial data.

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DESCRIPTION

Practical Guide to Clinical Data Management, Third Edition by Susanne Prokscha is a comprehensive, hands-on resource designed to introduce clinical research professionals to the principles, processes, and technologies involved in managing clinical trial data. Published by CRC Press, this edition reflects the growing importance of electronic data capture (EDC) and modern data management systems in clinical research.

The book provides a complete overview of clinical data management, following the lifecycle of a clinical trial from study initiation and planning through data collection, validation, quality control, and final database lock. It explains the essential responsibilities of clinical data managers and demonstrates how accurate, consistent, and reliable data contribute to successful clinical research and regulatory submissions.

Organized around the three major stages of clinical data management—study startup, study conduct, and study closeout—the book covers important topics such as data management planning, case report form (CRF) design, database development, edit checks, data collection, laboratory data management, adverse event data, data cleaning, reporting, and study closure. It also explores standard operating procedures, staff training, access controls, data security, clinical data management systems, vendor selection, system validation, and change control.

A major feature of this third edition is its expanded emphasis on electronic data capture, reflecting the industry's shift from paper-based documentation to electronic clinical trial systems. It also includes a dedicated chapter explaining the overall clinical trial process, helping readers understand how data management activities fit into the broader research workflow.

Written in a practical and accessible style, this book is an essential resource for clinical data managers, clinical research associates, clinical research coordinators, pharmaceutical professionals, biotechnology specialists, and students pursuing careers in clinical research. It provides valuable guidance for understanding data management responsibilities, improving data quality, and supporting the integrity of clinical trial results.

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