Andrew Hall

Hi, I like the way you used color to differentiate sections.

I would suggest listing the different options for race with a checkbox for each. It’s good that you have the “Other” option for race.

Ashara, this CRF is very well organized and the response options are well detailed!

I’m not sure how the subject initials and physician signature would line up with privacy protocols. That could possibly be identifying information, right?

Pawdoo, thanks for your feedback! I think the normal/abnormal options are a good idea. I intended the bullet point to be a check box. The normal/abnormal/not done options are more specific.

Thank you Taro! Per your and Dr. Saranath’s feedback, I will make the “Screening” the title of the table, as to include all subsequent questions.

Thanks! I’ll learn more about those packages.

We should along with the choices for race include a “specify other” option, right?

Pooling data to analyze for patterns in drug safety is a good point. It could facilitate faster knowledge and action on adverse events with a new drug, reducing the number of patients who have adverse events.

That’s great you used R in your analysis! Did you use any R packages that were specifically designed for biological applications?

I would suggest adding a check box in the temperature question with the letter “F” for Fahrenheit, as per the CDISC. The user could then choose “C” or “F” for the unit. If one of the study sites in the US, body temperature analysis likely will default to Fahrenheit.

One benefit of having data standards for clinical research is that it gives data scientists and clinicians a common language with which to address the subject matter. If researchers and analysts from different disciplines can overcoming siloing as mentioned in the lecture, then the pace of analysis will accelerate. Data from different studies…[Read more]

I don’t have experience with a study in a medical or scientific context. However, in my experience working with web server logs that I mentioned last week, I have a great deal of experience with the time stamp, user authentication, and edit check elements. Server logs always have a time stamp for each HTTP request to the web server. Often, the…[Read more]

Being new to health disciplines in general, I appreciate that you all are teaching me about the different types of research! Often I think the focus in data science is on data sets that are decontextualized from their knowledge domains and sources, such as clinical trials or basic research.

I find the analysis of qualitative data interesting in the context of data science, where often analysts will use algorithms to analyze quantitative data in order to make predictions. Integrating qualitative data into data science and machine learning is something I’m interested in learning more about. Perhaps sentiment analysis using natural…[Read more]

Most of my experience in the data management workflow has been with the data manipulation and analysis step. My experience with this step comes from my role as an engineer analyzing server logs to determine the root cause of an error. I manipulated the variables in the query to best fit the parameters of the error investigation. I then analyzed…[Read more]

1. In my last role, I worked as a development operations engineer (systems administration with cloud computing) for a software startup that produced a content management system. One of my duties was to investigate the root cause of automated error alerts we received so we could troubleshoot the error. Every time a user visits a website, the web…[Read more]