[Webinar] Realizing the art of the possible with scientific data
How cloud data platforms further global connectivity and collaboration to unlock discovery with innovative data science applications
Discover proven methods for harnessing the full value of scientific data with an open, data-centric, cloud-native solution purpose-built for R&D
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Life sciences organizations are digitally transforming to accelerate discovery and innovation by migrating their scientific data to the cloud, enabling connectivity and collaboration. This requires a network of partners, data integrations, contract research and contract development and manufacturing organizations to actualize end-to-end data automation and promote frictionless access to harmonized and enriched data in the cloud. This approach promises faster iterations of repeatable scientific workflows, improved data integrity and rapid innovation cycles.
Through embracing an infrastructure that enables ‘FAIR’ principles, meaning findable, accessible, interoperable and reusable data, researchers can tackle today’s data challenges and prepare for tomorrow’s while adopting digitization best practices to adapt to the digital ecosystem. These principles also allow organizations to query and retrieve R&D results and use metadata in analytics and data science environments.
Register for this webinar to uncover:
- How turn-key data integrations paired with an intermediate data schema (IDS) alleviate roadblocks, such as manual data transcription, in scientific research.
- The defining attributes of turn-key data integrations and how these production-ready solutions drive efficiency gains and foster a scientific data ecosystem.
- How an IDS harmonizes and enriches data into a unified format for predictability, consistency, and efficient querying.
Speakers
Evan Anderson, Ph.D. is the Tech Lead — Data Architect at TetraScience, where he contributes to enabling scientific use cases on the Tetra R&D Data Cloud. Evan works with scientists to define user stories, and translate those stories to technical solutions using the Tetra R&D Data Cloud and open source data science tools. Prior to TetraScience, he was an Insight Health Data Science Fellow. He obtained his Ph.D. in Molecular and Cellular Physiology from Yale University.
Mike Tarselli ensures impact of the Tetra R&D Data Cloud through content leadership, training, the partner network strategy, and building our scientific culture. Previously, Mike was the Scientific Director for SLAS, a global professional society dedicated to lab automation and an Associate Director at Novartis building an external collaboration networking platform. Mike’s pharmaceutical experience includes bench and operational roles at Millennium, ARIAD, and Biomedisyn. He received his Ph.D. from UNC Chapel Hill and completed a postdoctoral fellowship at Scripps Research. Mike currently serves on the Pistoia Alliance Board of Directors, the UMass Amherst College of Natural Sciences Advisory Board, and the Editorial Board of the NIH/NCATS Assay Guidance Manual. He is a member and active volunteer with the American Chemical Society, AAAS, and the MA State Science & Engineering Festival, and has been an invited speaker for student groups and professional organizations.
Sponsors
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