Saranath

Agreed. Change management is an important issue for IT project implementation. We will learn about this in the last module.

I agreed. The App had been developed in a short period. I think the App has a good data connectivity with healthcare facilities throughout the country. This project also showed that government enforcement is a main factor for the successfulness of the IT application.

Thank you all for sharing your experience and expectation.

Great work!

Thank you all for sharing examples and your opinion! Enjoy reading all of your thought.

Myat starting the course a bit late due to our technical problem. You can wait for her submission or you can review CRF of other friends.

Thank you all for your answers.

Oh! Accidentally delete the file without backup was a disaster.

Thanks for sharing. For future projects that you will be the PI, you might need to consider these issues and discuss with programmers to make sure that all of these steps are done appropriately.

Sound great!

Thanks everyone for sharing! Hope you can apply the data management processes learned from the class to your research and work.

Thanks for sharing. Questionnaire should be as short as possible. Long questionnaire is prone to missing data.

The project sounds fun and chaotic 🙂

For multi-site project, CRF design and CRF instruction are very important.

Thanks for sharing. As I mentioned in the introduction, the data management processes taught in this course are aiming for a standard clinical trial. For a small scale or non-clinical trial studies, some steps can be skipped. I totally agree that quality control step is important for all research.

Thanks for recall the issues of your previous data collection. Those issues are very important and commonly found in many projects. Hope this course would help for a better data collection process in the future.

A randomized controlled trial may need a strict data management protocol. For retrospective data collection, designing a good Case Record Form would really help on data collection process.

Interesting project! Yes, open-ended question usually generate qualitative data which is difficult to manage and analyze.

Thanks for sharing. Collecting a large number of participants is a big challenge.

If the information such as geolocation and contact number are not useful for the study. We don’t need to provide these data to the researcher, right. No need to do masking.