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Learner Reviews & Feedback for Data Management for Clinical Research by Vanderbilt University

4.7
stars
1,619 ratings

About the Course

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set. This course assumes very little current knowledge of technology other than how to operate a web browser. We will focus on practical lessons, short quizzes, and hands-on exercises as we explore together best practices for data management....

Top reviews

EJ

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Very excellent course with fun project assignments. I learned quite alot even though I already have a good amount of knowledge on data management! The professors are also engaging and professional.

AS

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This is one the best online course I ever have. I am well equipped on how to create and manage data on REDCap. A big thanks to the various instructors for impacting this great knowledge on us

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101 - 125 of 509 Reviews for Data Management for Clinical Research

By Chukwunonso L U

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Jun 5, 2020

This Course gave me a better insight on how to plan data collection, manage and regulate quality data for clinical trials and health surveys. I'm happy with how the Instructors explained every content of the Course and the way the quizzes and assignment reviews were done. The team work felt wonderful.

By Alec S

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Jun 14, 2020

This was a fantastic course!! The format was very helpful with quizzes and projects scheduled after each lesson to reinforce the information that was taught in the prior week's videos. The video lessons were clear, concise, and geared to assist the students in real-world data management applications.

By Mohamed M

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Nov 8, 2022

Very wonderful course. It gave me some basic knowledge about clinical trials data management, data collection, protection techniques, how to ensure data reliability and consistency, also I learned how to build good case report forms and manage data collection process the RedCap Software.

By Dineshkumar S

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Jun 14, 2020

This Data management for Clinical research course is really an eye-opener for me encouraged to do clinical research.

I thank all my Instructors who have given detailed lectures and my colleagues who analyzed my assignment.

It enhanced my knowledge in the clinical research area.

By Vakkalagadda R K

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Jan 1, 2023

I was well satisfied with the overall course. The modules were designed as required for a critically managing the clinical data. The final assignment for creating and collecting the survey forms was the best part that gave a kind of hands on training on collection of data.

By SWAROOP G M

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May 25, 2020

i understood how REDCap sowtare works and the requirements while creating a case report format. The good practise during data management during clinical reserach is well explained. I like to do related course which helps me to get more experience in this field.

By thelma b

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Sep 4, 2024

Thank you so much Coursera team for the short course in Data Management for Clinical Research. Its is well packaged and the delivery of the course material is superb! I have learnt so much and gained new skills. Looking forward to taking more of your courses.

By Diego R

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Jul 6, 2020

Very good course. I enjoyed Paul classes specially and it was very informative. If I may add my opinion there was a bit overlap at the end of the course, there where two classes that were very similar talking about clinical research in developing countries.

By Tonya W

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Aug 23, 2024

Excellent Course. Very well presented by knowledgeable instructors. Course organization that provided hands on work assignments. I would recommend this course to anyone wanting to learn basic clinical research concepts and an introduction to REDCap.

By robin z

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Sep 14, 2020

The course is well designed and very helpful for people trying to get themselves into the clinical research. It teaches some fundamental knowledge of clinical study as well as practical skills such as the utilization of EDC. Highly recommended!

By Erick M J T

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Sep 4, 2020

Un curso excelente con mucha información relevante, distintos instructores y una cuidadosa selección de material y lecturas sugeridas. Realmente lo recomiendo para cualquier persona interesada en la gestión de datos de investigaciones clínicas.

By Yi-Chi B

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Jun 19, 2020

This is a great course that provides important advice on clinical data capturing as well as hands on experience in designing forms or surveys using the data capturing system REDCap. I am ready to use what I learned from this course on my job!

By Sindhuja N

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Jul 3, 2020

Fantastic course with in-depth information. It needs enough thorough reading. Very good assignments with REDCap! Instructors are very clear and engaging. I liked them all. mHealth could have been updated to latest by the same person. Cheers!

By Rama

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Apr 21, 2020

Learned basic technologies to build survey or test cases relate to specific disciplines and apply these electronic data capture system experience to use in my research career. Thanks to all wonderful teachers of Coursera Data Management!

By Deepa P S

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Oct 27, 2020

Wonderful course with detailed description of each module plus assignments on redCap to make us understand better. A very well defined and structured course!!. Thanks a lot to the instructors, coursera and to Vanderbilt University :):)

By Shadrack M

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Mar 23, 2023

This course is so nice and really helpful when your working in a clinical research setting and dealing with Data Management. I have really learned a lot especially in designing Redcap Case Report Forms for data collection purposes.

By Sonia L P C

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May 11, 2020

Very good. The course is very interesting. This course provides important research tools, databases and data management and analysis. Thank you for the excellent classes and the valuable activities proposed by the teachers.

By EDWARD D O

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Nov 20, 2022

I started the course with very poor knowledge and understanding of how data is collected , managed and exported for very important survey , I am glad ti say that i am well equipped after successfully completing this course.

By Jenny K

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Oct 10, 2022

This was a really good course. Sttructured, good time managment and qualified and good understandable presentators. I can really recommend this course when you start to work with REDCap and the clinical datamanagement.

By Shota J

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Apr 23, 2020

The course was extremely useful and valuable. The lecturers are great and explaining all materials on a very high level. I do recommend the course to all interested parties. Thank you so much for your great work.

By MIN-TZ W

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Apr 12, 2021

It is a very useful course for me to start my entry-level experience. Thank you for providing this course and software to create clinical trial recording and survey. I learned a lot from this. Much appreciated.

By Kavita S

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Jan 22, 2023

Really appreciate they way the course was taken. Learned a lot from this course in Coursera. Thanks a lot to Google and to all the team members and to all our wonderful professors who taught us.. Thanking you

By Choo Y C

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Jan 8, 2024

It is simple but fruitful course for who want to understand the principle of data management for clinical research. Thank you very much to three lecturers who share their knowledge and expertise to all.

By Anjali

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Aug 4, 2024

The course is very informative and interactive. some questions popping up in between the lectures, really kept me alert. The REDcap tool is also very good and working on it felt like a accomplishment

By Israel O O

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Dec 27, 2022

Excelente contenido, ajustado precisamente para el publico objetivo de Investigadores médicos. Los contenidos técnicos son correctos y apropiados, las explicaciones muy claras.

Totalmente recomendado.