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Janet Holbrook, PhD, MPH, Ann-Margret Ervin, PhD, MPH, and David M. Shade, JD

In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies through performance monitoring, manage treatment interventions, and implement quality assurance protocols.

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What's inside

Syllabus

Data Collection Instruments
This module covers the design and organization of data collection instruments to be used in a clinical trial. A well-designed data collection instrument is critically important to the success of a trial because it determines the way that the data are defined, collected, and organized. A study without a well-designed data collection instrument is likely to encounter otherwise avoidable problems.
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Data Management
In this module, you’ll learn about data management in the context of clinical trials. You’ll learn definitions and core concepts and explore a few different frequently used data management systems. We’ll look closely at Excel and other spreadsheet programs because they are widely used and help illustrate broader data management principles. You'll also learn about data integrity, which incorporates features of data security, redundancy, and preservation.
Data Assembly and Distribution
Data assembly involves preparing data for distribution to others. In this module, you’ll learn the necessary steps for creating datasets for sharing. We’ll cover data freezes and data locking as well as cleaning, de-identification, sharing, and standards that you and your team can use to make your data more useful.
Performance Monitoring
In this module, you’ll learn how to conduct performance monitoring in clinical trials. Specifically, we’ll discuss a framework for monitoring clinical center performance and protocol adherence through all phases of the trial from start-up through follow-up. The module will conclude with a brief overview of site visits, an important part of a performance monitoring toolkit.
Intervention Management
In this module, you’ll learn about the principles of managing treatment interventions. There’s a considerable amount of heterogeneity in clinical trials, so a number of factors can influence how you deal with the intervention. Factors include the hypothesis, the design, whether it is an improved intervention, and whether it is licensed or experimental. You’ll also learn about different types of drug formulations and how they factor into masking protocols.
Quality Assurance
In this module, you’ll learn about quality assurance, which refers to the various measures that you and your team can take to help prevent mistakes or problems in your clinical trial. These measures can differ throughout the stages of the trial, so we’ll discuss the specific context in which these measures should be used.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches performance monitoring, which clinical research professionals use to track and improve the progress of studies
Taught by Janet Holbrook, PhD, MPH; David M. Shade, JD; and Ann-Margret Ervin, PhD, MPH, who have extensive experience in clinical data management
Covers data integrity, which is essential for ensuring the accuracy and reliability of clinical trial data
Explores different types of data management systems, helping learners make informed decisions about the best system for their needs
Requires some background knowledge in clinical research, which may be a barrier for some learners
Does not cover data analysis, which is a key aspect of clinical trial data management

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Clinical Trials Data Management and Quality Assurance with these activities:
Review clinical trial ethics
Reviewing clinical trial ethics will help you understand the ethical considerations and guidelines that are essential in conducting clinical trials.
Browse courses on Informed Consent
Show steps
  • Read the Belmont Report and the Declaration of Helsinki
  • Discuss the principles of informed consent with a colleague
  • Consider the ethical implications of different clinical trial designs
Review Statistical Methods for Clinical Trials
This book provides a comprehensive overview of the statistical methods used in clinical trials, and will help you understand the statistical principles underlying the design, conduct, and analysis of clinical trials.
Show steps
  • Read Chapters 1-3 to understand the basic concepts of clinical trial statistics
  • Work through the examples in Chapters 4-6 to practice applying statistical methods to clinical trial data
  • Discuss the statistical methods used in your own clinical trial with a statistician
Practice calculating sample size
Practicing calculating sample size will help you understand how to determine the appropriate number of participants for your clinical trial.
Browse courses on Sample Size Calculation
Show steps
  • Use a sample size calculator to calculate the sample size for a variety of different scenarios
  • Discuss your sample size calculations with a statistician
Five other activities
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Follow a tutorial on data management in clinical trials
Following a tutorial on data management will help you understand the principles of data management in clinical trials, and how to ensure the integrity of your data.
Browse courses on Data Management
Show steps
  • Search for a tutorial on data management in clinical trials
  • Follow the steps in the tutorial to learn about the different aspects of data management
  • Apply the principles of data management to your own clinical trial
Join a peer group for clinical trial investigators
Joining a peer group will provide you with the opportunity to connect with other clinical trial investigators and share experiences and advice.
Browse courses on Peer Support
Show steps
  • Search for a peer group for clinical trial investigators
  • Join the group and introduce yourself
  • Participate in discussions and ask questions
Attend a workshop on clinical trial quality assurance
Attending a workshop on clinical trial quality assurance will help you understand the principles of quality assurance in clinical trials, and how to implement quality assurance measures in your own trial.
Browse courses on Data Quality Management
Show steps
  • Search for a workshop on clinical trial quality assurance
  • Attend the workshop and take notes
  • Apply the principles of quality assurance to your own clinical trial
Mentor a junior clinical trial investigator
Mentoring a junior clinical trial investigator will help you to reinforce your knowledge of clinical trial conduct, and to develop your leadership skills.
Browse courses on Mentoring
Show steps
  • Identify a junior clinical trial investigator who you can mentor
  • Meet with your mentee regularly to provide guidance and support
  • Help your mentee to develop their clinical trial skills
Contribute to an open-source clinical trial data management platform
Contributing to an open-source clinical trial data management platform will help you to develop your technical skills and to make a contribution to the clinical trial community.
Browse courses on Open Source
Show steps
  • Identify an open-source clinical trial data management platform that you can contribute to
  • Contact the project maintainers and express your interest in contributing
  • Make a contribution to the project

Career center

Learners who complete Clinical Trials Data Management and Quality Assurance will develop knowledge and skills that may be useful to these careers:
Quality Assurance Specialist
A Quality Assurance Specialist is responsible for ensuring that clinical trials are conducted in accordance with Good Clinical Practice (GCP) guidelines. This course can help you build a foundation in quality assurance by teaching you about the principles of quality assurance, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Clinical Data Manager
A Clinical Data Manager is responsible for managing the collection, storage, and analysis of clinical data. This course can help you build a foundation in clinical data management by teaching you how to design and organize data collection instruments, manage data, and perform performance monitoring. This knowledge and skills will be essential for success in this role.
Clinical Research Associate
A Clinical Research Associate (CRA) is responsible for managing the day-to-day operations of a clinical trial. This course can help you build a foundation in clinical research by teaching you about the principles of clinical trial management, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Biostatistician
A Biostatistician is responsible for designing and analyzing clinical trials. This course can help you build a foundation in biostatistics by teaching you about data management, data assembly and distribution, and performance monitoring. This knowledge and skills will be essential for success in this role.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data. This course can help you build a foundation in data analysis by teaching you about data management, data assembly and distribution, and performance monitoring. This knowledge and skills will be essential for success in this role.
Medical Writer
A Medical Writer is responsible for writing clinical trial protocols, reports, and other documents. This course can help you build a foundation in medical writing by teaching you about data management, data assembly and distribution, and performance monitoring. This knowledge and skills will be essential for success in this role.
Regulatory Affairs Specialist
A Regulatory Affairs Specialist is responsible for ensuring that clinical trials are conducted in compliance with regulatory requirements. This course can help you build a foundation in regulatory affairs by teaching you about the principles of quality assurance, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Project Manager
A Project Manager is responsible for planning, organizing, and executing clinical trials. This course can help you build a foundation in project management by teaching you about the principles of clinical trial management, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Clinical Trial Coordinator
A Clinical Trial Coordinator is responsible for coordinating the day-to-day operations of a clinical trial. This course can help you build a foundation in clinical trial coordination by teaching you about the principles of clinical trial management, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Investigator
An Investigator is responsible for conducting clinical trials. This course can help you build a foundation in clinical research by teaching you about the principles of clinical trial management, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Site Manager
A Site Manager is responsible for managing a clinical trial site. This course can help you build a foundation in site management by teaching you about the principles of clinical trial management, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Clinical Research Scientist
A Clinical Research Scientist is responsible for conducting clinical trials. This course can help you build a foundation in clinical research by teaching you about the principles of clinical trial management, how to conduct performance monitoring, and how to manage treatment interventions. This knowledge and skills will be essential for success in this role.
Data Entry Clerk
A Data Entry Clerk is responsible for entering data into a clinical trial database. This course can help you build a foundation in data entry by teaching you about data management, data assembly and distribution, and performance monitoring. This knowledge and skills will be essential for success in this role.
Laboratory Technician
A Laboratory Technician is responsible for performing laboratory tests in a clinical trial. This course may help you build a foundation in laboratory testing by teaching you about data management, data assembly and distribution, and performance monitoring. This knowledge and skills may be helpful for success in this role.
Pharmacist
A Pharmacist is responsible for dispensing medications in a clinical trial. This course may help you build a foundation in pharmacy by teaching you about data management, data assembly and distribution, and performance monitoring. This knowledge and skills may be helpful for success in this role.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Clinical Trials Data Management and Quality Assurance.
Provides a practical guide to quality assurance in clinical trials. It covers all aspects of quality assurance, from planning and design to monitoring and reporting.
Provides a comprehensive overview of Good Clinical Practice (GCP) guidelines. It would be a useful reference for anyone involved in clinical research.
Serves as a practical guide to clinical trial data management, covering best practices, regulatory compliance, and quality assurance. Provides essential knowledge for data managers and other professionals involved in clinical research.
Provides a comprehensive overview of statistical methods used in clinical trials. It would be a useful reference for anyone involved in clinical data management or statistics.
Provides a comprehensive overview of the principles and practices of statistical methods in clinical trials, and valuable resource for anyone involved in the analysis of clinical research data.

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