The Role of Data Integration in Scientific Discovery and Innovation

Watch this webinar to learn how life sciences R&D organizations can improve their data pipeline to drive lab efficiency and scientific innovation. 

You will learn:

• What is data integration?
• What is data harmonization?
• How does integrated and harmonized data help to accelerate discovery at scale? 

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The challenges for data harmonization in life sciences 

As biopharma companies scale, their complex data flows require automation. Manual data collection and transformation are prone to human errors, while point-to-point integrations between instruments are brittle and expensive to maintain. 

Data integration combines data from different sources. This is key to data harmonization, enabling organizations to make data Findable, Accessible, Interoperable, and Reusable (FAIR). Data-centric integration and data harmonization help to solve challenges such as data entrapped in silos, proprietary file formats, and lack of metadata/context. 

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Data-centric Integrations with TetraScience

Tetra Scientific Data and AI Cloud automates raw data collection and integration. TetraScience ingests data from multiple sources, cleanses, and enriches the data with metadata and context. Our solution integrates and harmonizes the data in the cloud for increased collaboration. Benefits include:

• No manual transcription
• Automated upload of results 
• Greater data integrity

Watch our webinar to learn more about TetraScience's approach to data integration and harmonization.