The goal of transforming one’s pipeline to a steady source of usable data is within our reach. Data that could be used for clinical insights or earlier in the drug discovery process.  Diverse data types that requires informatics tools to be integrated and analyzed. To reach that goal, to digitize our work, initial steps are required to collect the data, curate it and store it so it can be leveraged. This presentation will describe how we used different technologies to address the specific needs in various scientific domains. Topics such as scientific data collection, software architecture, data integration will be considered.

Learning Objectives: 

1. Understand generic scientific data modeling
2. Understand software architecture