Live Webinar

  • Date: 25-06-2026
  • Free

Governing Sensitive Pharma Data with a Semantic Layer

Practical steps for making clinical trial data safe to reuse at scale

Years of clinical trials, yet most of the data has never been reused. Each clinical study generates rich patient-level data. Once a study closes, the majority of that data remains locked inside trial data management systems, effectively invisible to the rest of the organization. It is siloed by study, system, and therapeutic area, with governance processes built for single use rather than reuse. 

There's a better architecture.

 

Perspectives on AI, LLMs, and semantic technologies in the life sciences industry group

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Governing Sensitive Pharma Data with a Semantic Layer — ONTOFORCE Webinar
WHAT WE'LL COVER

In this webinar

In this webinar, we'll give you the practical steps needed to make clinical data available for internal evidence generation without compromising patient privacy, regulatory compliance, or data integrity. We'll walk through a real pharma deployment of DISQOVER's semantic layer and knowledge graph, showing you exactly what each step looks like in practice.

We'll cover the architecture, the governance mechanics, and the real-world results, including how AI agents could operate via MCP, and be governed by the same rules as human researchers, by design.

The problem
Clinical trial data sits locked in study-specific systems, invisible to the rest of the organization
The approach
A semantic layer with governance built into the architecture, not layered on top of existing models
The result
Clinical data available for reuse across studies and therapeutic areas, with full access control by design
What you'll learn

You'll leave knowing

  • Why governance bolted onto data models breaks, and what built-in governance looks like instead
  • How access policy is modelled as a first-class entity, so every query — whether from a researcher or an AI agent — automatically operates within the correct permission boundaries by design
  • Why restricted data should never be silently hidden, and how transparency about suppression changes researcher behavior
  • How DISQOVER exposes governed MCP tools that enforce access policies regardless of which AI agent calls them
  • What it took to get there, including the design principles the team wished they'd had from day one
We'll also show how AI agents operate via MCP and are governed by the same rules as human researchers — by design, not by afterthought.
Who this is for

This session is built for

Data governance leads

Responsible for access policy, regulatory compliance, and data stewardship across clinical data environments

Data architects

Designing data platforms that need to support reuse, federation, and governed access at scale

AI strategy leads

Building AI capabilities on top of regulated clinical data and navigating governance in an agentic world

Any life sciences professional interested in clinical data reuse at scale

Speakers

Sara

Sara Velkovska

Product Director

ONTOFORCE

Tine

Tine Geldof

Solution Enablement Director

ONTOFORCE

ONTOFORCE enables life science companies to unlock hidden insights from data.


With DISQOVER, built on knowledge graph technology, we support life sciences and pharmaceutical companies with innovative data management and visualization.


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