Clinical Trial Data Federation and Subject Masking

In pharma, biotech and the wider life sciences, one clinical study runs on several systems at once. Electronic data capture holds the case report forms, a trial management system, often run by the contract research organization, tracks sites and visits, an interactive response system handles randomization and drug supply, and a central lab returns results. This concept illustrates SemanticFed modeling one study across all of them, so clinical operations, data management and privacy teams can work from one set of numbers without moving subject-level data anywhere it should not go.

Each of those systems counts in its own way, and the subject rows they hold are often bound to the region where they were collected. Reconciling figures such as randomized subjects or screen failures usually means exporting data, which creates new copies of fields like date of birth, initials or visit dates that could re-identify a participant. The design answers both problems inside the model: shared definitions are written once, queries are designed to be pushed down to each source, and column policies decide which roles see which fields.

The illustrated page sits under Ontology and is headed by a sample study's clinical operations model, with its version, site count and region count, beside a Register Source action. Summary cards count sources, metrics, masked fields and region-locked sources. A source table lists each system with its type, region, a Stays in region badge where residency applies, a connection status and a push-down setting. In the sample, both data capture instances and the lab are held in region, the randomization and supply system shows as degraded, and the lab's push-down is set to partial. Below, a Metrics list shows randomized subjects, screen failure rate, open queries over 30 days and kit cover in weeks by site, each tagged with its definition version.

On the right, a subject masking policy denies date of birth at column scope, masks subject initials and masks site visit dates to the month. It applies to clinical operations and sponsor executive roles, with data managers exempt in the EU only. A residency note marks the EU data capture source as push-down only, with aggregates leaving the region. The last panel shows the model published to a BigConsole site oversight console for the study, refreshed on a FluidGrids schedule every six hours. The design intent is a clear division of work: SemanticFed owns the definitions, residency and masking, FluidGrids is designed to run the refresh, and BigConsole is designed to receive only approved site-level aggregates for study oversight.