Saranath

Good catch! Waiting for others to participate.

Great!

I’m sure the EDC system that you use would have a concrete data backup and recovery plan. It would be much easier for the users (or CRA), if you have a good system to work with.

In fact, data management process can be applied to research or data collection outside the clinical trial research. Hope you can apply what we learn in this course to some of your works.

Great! Hope this course can help you improve data collection/management/analysis in your research.

Great! Hope this course can help you improve data collection/management/analysis in your research.

It is important for the database programmer to understand the clinical data management process. I think a programmer (software engineer) view the database differently from clinical data manager. I sometimes find that the data collection program developed solely by an engineer has backend database that is difficult to utilize in terms of data analysis.

Thanks for sharing! I can imagine how difficult the work is. Carefully designing the database is a very important step.

Thanks for sharing! Qualitative data collection is even harder to transcribe and analyze than quantitative data collection, but somehow it can give you an in-depth information that just a questionnaire may not be able to provide.

Thanks for sharing! Qualitative data collection is even harder to transcribe and analyze than quantitative data collection, but somehow it can give you an in-depth information that just a questionnaire may not be able to provide.

I agree that primary data collection can give you more valid and complete data, but you need a good data collection strategy and tools. It also takes time and budgets. For secondary data collection, you may face with incomplete data as per your friend’s suggestion.

Yes, incomplete and unstructured data is the main painful part for secondary data collection. Although, many hospitals have claimed that they use HIS, but many parts of data are still in scanning forms (images), which is still difficult to extract.

That seems quite a lot of work. Collecting data via mobile is one of electronic data capture type, it would save time for data entry. But sometimes, it might be difficult for data cleaning when errors occur. You may also consider having an offline option in your mobile data collection program. it would be useful when the internet connection is not good.

Do you think that the data collection tool that you are using is helpful for your data collection process?

Great! Thanks for sharing. I think data management concepts could be applied to any field of research and activities. Great to here that you can apply what we learn to your current research work. Backing up data is very important.

It would be good for a CRA to know data management process. Sometimes, the CRA can suggest the revision that may need for the CRF to improve data input and data quality assurance. 🙂

Laboratory research also involves data collection. I hope that data management concept that you learn from this course would be helpful for your work.

Thanks for sharing! You should be familiar with data collection and management process in clinical study. Hope this course would be helpful for your work.

Great! Looking forward to seeing other student’s work.

Thanks everyone! Really appreciate your summary and creativity!