id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-103157-xe5ccw9j	Mayer, David	Developing and Deploying a Scalable Computing Platform to Support MOOC Education in Clinical Data Science	2020-08-27		.txt	text/plain	4322	222	53	In response to these challenges we sought to create a hosted computing platform that would both manage student access to restricted materials and accommodate the unique challenges posed by MOOCs. The primary goal of developing the computing platform was to create a system that would allow instructors to restrict and monitor access to sensitive clinical data to only those students who had signed required data use agreements. New students are assigned a unique student id number, provisioned a linux user account on the Computing server (which is linked to their Google account), added to a private Google Group that has been assigned the appropriate IAM roles for accessing course BigQuery datasets, and a platform expiration date calculated (~6mo). We have created a computing platform to support clinical data science MOOC education that has been scalable, globally available, secure, privacy preserving, and generally supported independent access by a large number of students.	./cache/cord-103157-xe5ccw9j.txt	./txt/cord-103157-xe5ccw9j.txt