Chevron Left
返回到 临床研究数据管理

學生對 范德堡大学 提供的 临床研究数据管理 的評價和反饋

4.7
1,398 個評分

課程概述

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....

熱門審閱

EJ

2019年11月12日

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.

AK

2020年6月22日

This course is very carefully designed to give a moderate idea how the eCRFs are made in RedCap database system.It gives you a fair background of clinical research processes and database designing.

篩選依據:

26 - 临床研究数据管理 的 50 個評論(共 441 個)

創建者 Eduardo C

2017年7月12日

I would never imagine that an online course could be so useful in my life. I am a frequent subscriber of digital media but receiving all this course. It is simply impossible not to be fascinated by the technical quality and the didactics of the course! Congratulations to the creators and to all who produced it.

創建者 Tatiana M

2019年7月13日

The course is very usefull for those who are just entering the world of data management in clinical trials and for those who are interested in DM processes and regulations in USA. It gives promary skills in creating the case report forms and surveys. I would recommend the course some of my colleagues.

創建者 Friday M

2020年2月12日

This course has given me an intimate look into some of the workings of data management that I could only guess at previously. The concept of a clinical project at its beginning up to the point where an instrument is created in REDCap as illustrated in this course was extremely helpful.

創建者 Aishwarya G

2018年11月23日

Excellent study material, in-between lecture questionnares, quizzes and constructive assignements provided with the best of teachers and instructors. I would rate it one of the top quality course in Coursera platform. The interactive teaching platform is absolutely wonderful.

創建者 Catherine K

2017年12月5日

Such an informative course and engaging. I would definitely recommend it anyone in the clinical field for improvement on data management. The information was well presented and clear. Easy introduction to RedCap. Thank you Dr. Paul and Dr. Stephany. I enjoyed the course.

創建者 S V

2018年5月1日

thank you for offering RedCap and other practical applications that I can place on my resume. Please continue to develop the course so we can develop and list practical skills on our resume. Otherwise it is very hard to get into this field without courses such as yours.

創建者 Daniela L

2017年12月16日

Wonderfully explained curse, very complete and useful!!! I'd highly recommend it to anyone interested in Clinical Data Management. It would be great to have an Advanced course as well, covering remaining topics or deepening some topics shortly explained in this course

創建者 Meghnath C

2017年3月12日

I was fortunate to enroll for this program and i learned a lot. Now I'm confident to address the questions, issues and resolve with the solutions in Data Management for Clinical research. I've already recommended to my colleagues to enroll. Thank you very much...!!!

創建者 Anne M E

2016年10月11日

Very interesting and relevant course for anyone interested in research involving human subjects. The teachers are very good at making a 'boring' and difficult subject interesting by providing thorough examples and very good online hand-on tools. Excellent course!

創建者 Heather P

2019年10月21日

Really thorough and lots of helpful check in questions during the video presentations. I also like having the transcript below the video to read along or go back later to quickly skim to review. The assignments were challenging but not overwhelming. Thank you!

創建者 David L H

2017年1月25日

Much of the survey building topics were rudimentary, but the content covering regulatory concerns and Mobile Medicine considerations were worth the entire course. I recommend it for anyone who would like to get familiar with Clinical data capture concerns.

創建者 Atemnkeng A

2018年8月15日

Excellent course that gives an overview of data management in clinical research and used an EDC called REDCap to demonstrate the practical application of the theory. Its a course I will strongly recommend for a beginner in the field of clinical research.

創建者 Melissa R

2017年1月3日

Even though I didn't learn anything significantly new from this course, I believe it served as a great refresher when it comes to data management. Also, this course could also be applied to data management in general and not just for clinical research.

創建者 Abhijith N P

2019年11月6日

The course will help you to have a basic understanding of clinical data management and the nitty-gritty of the same. It also touches upon the legal aspects of the subject too. The use of the REDCap application is one of the best aspects of the course.

創建者 Kelly B

2019年8月5日

Course was well done. It was very detailed, but I enjoyed it. Wasn't going to pay for the certificate initially, but was so impressed with the course content that I decided to buy the certificate to support the efforts of other courses being made.

創建者 Juby T

2016年9月7日

Very good and useful for those wish to pursue a career in Clinical Data Management.

The classes were very good and the syllabus was well structured.

Thanks for providing this opportunity and my sincere wishes to the lecturers and technical staffs.

創建者 Amer M A S

2020年4月5日

One of the best courses I've taken! Teaching through active examples, well organized peer-graded assignments, and give you a good introduction on what to do and what not to do while managening your research data. Recommended!

創建者 Ravi K T

2019年8月7日

Hi, the course is well designed with all useful topics and hands on assignment. It showed a significant change in my practical knowledge regarding the clinical data management. Thank you for coursera and all the staff.

創建者 Justin T

2017年8月3日

I would recommend this to anyone who is new to clinical research! After completing this course, I feel more confident in my understanding of the logistics of clinical research and the intricacies of clinical data.

創建者 Nkechi O

2016年11月7日

Excellent course! I do not have a background in clinical research, but the instructors did a great job of explaining each subject and testing our knowledge and understanding. I would highly recommend this course!

創建者 Andres L P P

2019年3月11日

I give 5 stars to this course because the information was precise, accurate, not to repetitive and since I already have background on this topic I understood deeply some scenarios, they were clear. Thank you

創建者 Gerda S

2018年3月16日

Learning a lot in a short time is motivating to go on. The leading professors did a very good job. Examples were choosen well and made it easier to understand. Thank you to Paul Harris and Stephany Dud

創建者 Dean M

2018年1月21日

Excellent! The lectures is detailed and take into account practical point of view. If you are interested in learn data management, even though clinical trials are not your "data domain", go ahead!!

創建者 Suzanne N

2022年9月28日

Excellent course! I would highly recommend this course to anyone interested in clinical research especially for those interested in electronic data capture and best practices for data management.

創建者 Jorge E V V

2019年2月24日

Great course, regardless the role you have in the research; you do improve your data management skill set. A fantastic course for beginners who are trying to increase their productivity.