governed workspaces in DISQOVER

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Same data, different views: how governed workspaces in DISQOVER change the way teams work

DISQOVER's latest release introduces governed workspaces that give each team its own curated view of data, without duplicating infrastructure or compromising governance.

ONTOFORCE team
30 June 2026

DISQOVER's latest release introduces governed workspaces that give each team its own curated view of data, without duplicating infrastructure or compromising governance.

Most life sciences organizations don't have a data shortage. They have a coordination problem. A clinical operations team and a medical affairs team can both work with the same clinical graph, but their day-to-day questions look nothing alike. Trial managers need enrollment progress by site. Medical science liaisons need outcomes by indication. Giving both teams the same interface, configured the same way, means neither works as efficiently as they should.

The conventional answer has been to run separate environments: one instance per team, each with its own infrastructure, its own maintenance cycle, and its own data copy. It works, but it multiplies cost and creates exactly the kind of fragmentation that makes governance harder.

DISQOVER 7.22 addresses this directly with Spaces, a governed workspace layer that sits on top of the knowledge graph and gives each team a curated, access-controlled window into the data they're authorized to see.

What are Spaces, and how do they work?

A Space is a configured workspace within a DISQOVER instance. Each Space can be linked to its own knowledge graph, or share a graph with other Spaces while presenting a different view of it. A new space switcher in the main navigation lets users move between contexts quickly, with a clear sense of where they are working at any given time.

For organizations, this means one DISQOVER deployment can support R&D, clinical operations, pharmacovigilance, and medical affairs as separate, independently governed environments. Before, that would have required separate instances. Data does not cross team boundaries unless it is supposed to.

For end users, the day-to-day experience is simpler. Each Space is configured for the questions that team actually asks, with the charts, views, and data structures that reflect their work, not a generic shared environment they have to navigate around.

Why this matters for data governance

Governed access is not just a convenience. In life sciences, data boundaries have regulatory implications. Pharmacovigilance data needs to stay auditable. Clinical subject data requires controlled access. Running those use cases on shared infrastructure without clear boundaries creates compliance risk.

Spaces enforce those boundaries at the platform level. Each Space defines who sees what, with access controlled at the user and user-group level. One graph, many curated views, each governed independently.

What else is new in DISQOVER?

Spaces are the headline of this release cycle, but several other improvements change how teams explore, validate, and present data day to day.

Chart creation that starts with the data, not the chart type

A new chart creation experience lets users explore available data, select the properties that matter, and preview them in a table before choosing a visualization. DISQOVER then surfaces only the chart types that fit the selected data and populates the configuration automatically. This is available as part of DISQOVER Labs, the platform's early-access program for features still in active development.

Transparency into what powers your charts

In DISQOVER Explore, charts that visualize linked concepts, such as clinical studies connected to a list of drugs, can now be explored at the instance level. Users can preview the underlying data directly, open linked concepts in a new tab, and trace exactly how a visualization is built. This makes chart insights easier to validate and follow up on.

Catch data quality issues before they reach your users

Data engineers building ingestion pipelines now have a dedicated Resource Unit Test component. Define which resources should exist in the index and what values they must carry, and DISQOVER verifies this automatically during ingestion. Quality issues are caught at the source, before they affect downstream users.

Find saved explorations faster

The explorations overview now includes two new filters: Last Accessed, to resurface recent work, and Access Type, to see at a glance what you own, what colleagues have shared, and what is publicly available.

Custom chart presentation in the table overview

A new property renderer page lets teams build custom visualizations for the table overview, with structured templates, helper functions, and preview-based validation. Data can be presented with status cues, formatting patterns, and visual emphasis that reflect business meaning, rather than raw values alone.

The direction of travel

The thread running through these releases is the same: DISQOVER is built for how life sciences organizations actually work, across teams, across use cases, and across governance boundaries, on a single platform. Spaces make that concrete. The improvements to chart creation, data transparency, and quality control reinforce it at the level of daily practice.