Back to Clinical Trials Data Management and Quality Assurance
Johns Hopkins University

Clinical Trials Data Management and Quality Assurance

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.

Status: Data Security
Status: Clinical Trials
BeginnerCourse7 hours

Featured reviews

MN

4.0Reviewed Jul 25, 2024

Highly recommended for those interested for QA jobs

AA

5.0Reviewed May 20, 2025

بالنقر فوق إرسال، أوافق على إطلاع مجتمع كورسيرا على ملاحظاتي، بما يتفق مع شرو

NG

4.0Reviewed Jul 21, 2023

Excellent and thorough content. Lectures get monotonous sometimes.

TC

5.0Reviewed Nov 14, 2022

Really nice course. This course added so much insight to the industry im still somewhat new to!!

SN

5.0Reviewed Jul 11, 2024

Excellent course for anyone moving to Clinical Data management

TH

5.0Reviewed Oct 29, 2025

This course was very rich in valuable information and was a great starting point for me to begin in this field

JR

4.0Reviewed Jan 30, 2023

Useful information...but a bit dryer compared with the first course. Regardless, it is essential information to be aware of for clinical trials.

PL

5.0Reviewed Aug 21, 2024

great course with a lot of details and well explained concepts. I recommend it fully

AB

5.0Reviewed Oct 23, 2024

Nicely explained, clear examples and experiences told by the educators!

SM

5.0Reviewed Nov 23, 2023

I got best course from best website and instructors also very dedicated to the topics.

KS

5.0Reviewed Feb 10, 2023

It's a lot of information but it is all quite clearly explained and I particularly liked the practical examples.

VR

5.0Reviewed Apr 17, 2023

I was greatly helped by the presentation of data and the knowledge provided regarding analysis, data management, and QA. Thank you for this valuable opportunity and learning.

All reviews

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Ray Hermann Angossio Liwa
5.0
Reviewed Jan 13, 2023
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status videos & status videos &
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