Life sciences organizations are digitally transforming to accelerate discovery and innovation by replatforming their scientific data to the cloud, enabling connectivity and collaboration. Spearheading this approach is a network of partners, data integrations, and CRO/CDMOs that actualize end-to-end data automation and promote frictionless access to harmonized and enriched data in the cloud. This approach promises faster iteration of repeatable scientific workflows, improved data integrity, and rapid innovation cycles.
Through embracing an infrastructure that enables FAIR (Findable, Accessible, Interoperable, Reusable) data, researchers can:
Seamless access to FAIR data in the cloud provides answers to complex questions, such as relating results from different instrumentation within the same process, unearthing instrument usage statistics, and trending regular instrument suitability testing. Researchers are also able to easily build and employ user-friendly data science and visualization tools that can elucidate scientific data in unprecedented ways to unlock insights by aggregating observations, trending, and analysis of scientific data.
Register for the webinar to learn: