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Manual No More: Automating the Scientific Data Lifecycle

Today, teams across biopharma suffer from information silos, underutilized data, and inefficient research processes that pose enormous risks to data integrity and shift focus away from higher-value tasks.

Scientists and data scientists waste over 50% of their time manually managing large and complex datasets that are fragmented and in hundreds of different proprietary formats. Data is moved between instruments and informatics systems with USB drives and/or handwritten notes further slowing down innovation.

In this whitepaper, you will learn how leading biopharma organizations are reimagining the research, development, and delivery of life-saving therapeutics through:
  • Seamless integration between ELN/LIMS and instrument control software to automate export of experimental design
  • End-to-end lab connectivity that automates the entire data lifecycle
  • Data adhering to FAIR (Findable, Accessible, Interoperable, and Reusable) principles 
  • Data prepared for analytics, such as AI/ML, to provide new insights and direct future experiments

Download your copy today and get in the know behind this new standard in life sciences.

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