The most important job of automated biology is to produce results that moves your research forward. If automation only executes a program of pre-determined set of steps, the researcher is left to update programs (even for simple changes) and process data with copy and paste.  This webinar will use a screen for miRNAs that regulate cancer cell viability and chemosensitivity to demonstrate how to make an effective data management plan. A data management plan uses input data to identify incoming samples, process data to drive automation, and analytical information to power further analysis inquiries. 

Learning Objectives:
•    The data-management workflow: Input, Process, Analyze
•    Data-workflow hierarchy: Runs, Plates, Wells
•    Data-management plan essentials
•    See a data-management plan in action on an actual screening campaign!