Recording and tracking lab experiments, equipment, and specimens.
Support of the data life cycle, including data creation; discovery and collection; analysis and visualization; storage, backup, and transfer; and research data policy compliance.
Software package management, research software development, research software optimization or troubleshooting, workflow engineering, containers and cloud computing, securing access to software, and software associated with physical specimens.
Computing and storage resources that support research that uses specialized or highly intensive computation, storage, bandwidth, or graphics. Includes advanced or specialized applications, such as plotting, visualization, modeling, rendering, animation, graphics programming, and image manipulation.