Login / Signup

A framework for understanding an open scientific community using automated harvesting of public artifacts.

Star LiuAsieh GolozarNathan BuesgensJody-Ann McLeggonAdam BlackPaul Nagy
Published in: JAMIA open (2024)
We discuss the insights enabled by our approach to monitor the growth and impact of the OHDSI community by capturing artifacts of learning, teaching, and creation. We share the implications for different users based on their functional needs. As other scientific networks adopt open-source frameworks, our framework serves as a model for tracking the growth of their community, driving the perception of their development, engaging their members, and attaining higher impact.
Keyphrases
  • mental health
  • healthcare
  • machine learning
  • high throughput
  • deep learning
  • image quality
  • magnetic resonance imaging
  • emergency department
  • magnetic resonance
  • drug induced