How FAIR lab data can expedite your Drug Discovery AI Programs?
Presenter: Haydn Boehm, Head of Commercial Marketing at Merck
Haydn has over 20 years’ experience in marketing and business development within the life scientific sector, he has a PhD in Organic Chemistry from the University of Nottingham, UK.
Unstructured scientific data is one of the biggest drains on productivity in the pharmaceutical industry today, at an estimated impact of €10 billion per year. In this talk we will explore the hidden costs that data silos and proprietary file formats have—from manual data-cleansing to compliance to enterprise-wide digital transformation. In addition, we will discuss why open data standards and technologies that adhere to the FAIR principles of findability, accessibility, interoperability, and reusability are key enablers for innovations based on AI, ML, advanced analytics, and more.
- Learn more about how open standards can actually be used
- Learn how data integration and standardization can accelerate speed to market
- Learn more about the direct and indirect business impacts of your organization’s data policies
Areas covered in this session
- Data-driven business models
- Using standards to integrate instruments with LIMS and ELN
- Storing instrument data in the cloud
- Converting instrument data into the open AnIML format
- Controlling instruments using SiLA
- Data Integrity
Who should benefit
Participants with an interest in best practices for efficient data management and instrument integration from R&D, QA/QC, regulatory affairs, lab managers, IT, and more.
Merck KGaA, Darmstadt, Germany, a leading science and technology company, operates across healthcare, life science and performance materials.
Merck Life Science’s commitment to advancing and commercializing laboratory informatics has seen its digital portfolio grow through the launches of Synthia™, Milli-Q® Connect, and the LANEXO™ System.
In 2019, Merck acquired BSSN™ Software, a Frost & Sullivan Innovation Award-winning provider of data management solutions to facilitate FAIR (Findable, Accessible, Interoperable, Reusable) laboratory data.
The BSSN™platform enables the processing, analysis, archiving, and sharing of laboratory data from multiple sources using industry standards like ANiML and SiLA.
We are committed to helping scientists use open standards to enable greater interoperability in the laboratory.
The life science business of Merck operates as MilliporeSigma in the U.S. and Canada.