Often, scientific R&D data is not replicable or re-useable, holding a company back. In addition to racking up costs, it highlights that there are important things that need to be transformed in R&D. When it comes to technology, you need a collaborative environment, a usable and intuitive platform. You need user-friendly configurations, interoperability and integration, and a strong scientific informatics platform in place to manage and map the massive amounts of data. Your data needs to be findable, accessible, interoperable and re-useable. And managed by a system that can scale with your business. That’s what software can help you achieve.
The right scientific software creates a consolidated data frame for you to store and interpret the data – this is foundational to making the right choices for your business.
In this webinar, Scott Weiss, VP of Product strategy at IDBS, will take us through building an ecosystem that not only fills a need, but also fits into your lab’s workflows to drive R&D processes and ensure data is in an accessible and digestible format.