Data Governance Community
The community’s goal is to identify common problems and potential collaboration opportunities to deliver standard solutions.
Why is this important?
If life science and healthcare R&D are to take advantage of the data tsunami, then a greater understanding of how to manage data systematically and strategically is fundamental.
Data governance is essential to enabling digital transformation and advancing innovation. For example, one way to lower barriers to R&D is to exploit the contemporary technologies of AI/ML and NLP. To use these tools effectively, data needs to be machine-actionable and machine-ready. Clear data management, strategic vision, and oversight of the data are required to enable this.
What does the community achieve?
This growing community has attracted over 30 companies. It brings together key opinion leaders to identify best practices, common obstacles, and potential solutions. If you are involved in data collection, understanding, interpretation, and development—you’re welcome to get involved!
Get Involved
Achieve more, together. Build your expertise through our member-driven projects, communities and educational events.
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Accelerating Preclinical Drug Discovery with Agentic AI: Inside Bayer’s PRINCE Multi Agent System
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