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Realizing the “Art of the Possible” with Scientific Data

Event Status:

October 28th, 2021 | 11AM EST

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Event Description

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: 

  • Tackle today’s data challenges and prepare for tomorrow’s
  • Adopt digitization best-practices to adapt to the digital ecosystem 
  • Query and retrieve results and metadata for use in analytics and data science environments, like Jupyter Notebooks and Spotfire

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:

  • How turn-key data integrations paired with an Intermediate Data Schema (IDS) alleviate roadblocks in scientific research such as manual data transcription and wrangling
  • The defining attributes of turn-key data integrations and how these battle-tested, production-ready solutions drive efficiency gains and foster a scientific data ecosystem
  • How an Intermediate Data Schema (IDS) harmonizes and enriches data into a unified format for predictability, consistency, and efficient query 
  • This session will highlight examples of data applications and visualizations, built with popular tools

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