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Towards FAIR Principles in Clinical Data: Perspectives from the Pistoia Alliance

ABOUT THE EVENT

Although data standards (e.g., CDISC) are mandatory for clinical trial submission to FDA, the data is often un-FAIR, limiting future reuse. The Pistoia Alliance FAIR4Clin guide explores the state of FAIR in the clinical space. In this session, Giovanni Nisato from the FAIR implementation Project emphasizes how this guide adds value to clinical data, accelerating research for data practitioners like clinical data managers or analysts. His session includes topics like metadata concepts and standards, clinical trial registries, clinical data quality, and governance.

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Meet the Experts of this discussion
Key Takeaways
How data providers ensure adherence to quality standards through validation and compliance.
How GUI-based workflows, CLI tools, and collaborative workspaces enable streamlined data ingestion and synchronization at scale.
Understand how automated pipelines assess conformance, plausibility, and consistency, ensuring high-quality, AI-ready data products.
Who Should Attend?

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