Data Management

With the increased demand in computing power from life science researchers and scientists tackling big data issues, data storage infrastructure must be able to scale to handle billions of data points and files efficiently. The Data Management track will explore solutions to ensure data is FAIR (Findable, Accessible, Interoperable, and Reusable) to best effect change across the organization. Presentations will discuss FAIR principles and definitions, technology tools and tool differences, as well as application/use cases.