Governed data on standards that outlast the programme

Mandates keep arriving and each one assumes you already have inventoried, described, semantically defined data. TopQuadrant builds that foundation on open W3C standards, aligned to NIEM and BFO, owned at the domain level so it survives reorganisation and the next administration’s priorities.

Government · Authoritative source
Entity type Organisation NIEM nc:OrganizationType
Systems holding this entity
SystemRecordsRole
Grants registry 184,220 Authoritative Source of truth
Finance ledger 183,905 Consumer Reconciles
Legacy case system 179,441 Consumer 4,779 diverge
Divergence owned by Data Stewardship · reconciliation queue open Published to DCAT-US inventory

Trusted across government

NASA and agencies across defence, health, and civilian government build on TopQuadrant.

The pressures government data teams face

Mandates that assume capability you do not yet have, standards proliferating without a translation layer, and backlogs that trace back to undescribed data.

The mandate-to-capability gap

Federal AI direction, the FDTA joint standards, the Evidence Act, and the OPEN Government Data Act all assume inventoried, quality-controlled, semantically defined data. The mandates arrive with deadlines and without the underlying capability.

Standards without a translation layer

DCAT-US, NIEM, BFO, USCDI, and the FDTA taxonomies all coexist, and nobody owns reconciling them. Every cross-agency initiative rebuilds the same mapping work from scratch.

Sharing mandates against privacy obligations

Directives to eliminate information silos and Privacy Act obligations are both enforceable, and the tension is now litigated rather than theoretical. Both positions have to be defensible from the same data estate.

Backlogs as a symptom

Executive branch agencies closed FY2025 with 463,541 FOIA requests pending. Behind the processing capacity sits the same root cause: records that are not described, not linked, and searchable only by full text.

A platform that delivers results

When a domain model is governed as infrastructure, the next programme starts from it instead of starting over.

100%
Open W3C standards, fully exportable, with no proprietary lock-in
300+
Prebuilt ontologies and vocabularies to adopt and align to your domain
70%
Less time assembling evidence for a request or an audit
1
Governed description behind every conformant publication

Built on the standards your regulators already know

Open W3C standards underneath, and the industry’s own vocabularies on top, so nothing you model is locked to us.

Browse the resource hub

NIEM

National Information Exchange Model

Model v6.0 became an OASIS Standard in December 2025. Align governed models to NIEM domains without translation.

BFO

Basic Formal Ontology

The ISO/IEC 21838 top-level ontology, now formally collaborating with NIEM, supported natively in OWL.

DCAT-US

Data catalog and inventory schema

Describe assets once and publish conformant inventories, so a schema change is a mapping update.

W3C

OWL, SKOS, SHACL, SPARQL

The stack NIEM, BFO, DCAT-US, and the FDTA standards all ultimately rest on, used directly rather than approximated.

The questions a government data team actually gets asked

Each one needs a governed answer that carries its definition and its lineage, not a best guess from a warehouse query.

[01]Without a governed foundation
Which system is authoritative for Organisation, and can we show it reconciles with the others?

Authority is documented in a wiki page from 2023. I have no way to compare the systems.

Used confluence-search, 1 page

Asserted, not evidenced
SystemRecordsReconciles?
Grants registryNot comparableUnknown
Finance ledgerNot comparableUnknown
Legacy case systemNot comparableUnknown
No shared identifier, so the three counts cannot be lined up at all

An answer with nothing behind it.

Fine in a meeting, useless in an audit. The reconciliation gets rebuilt by hand, every time.

[02]With TQ Data Foundation
Which system is authoritative for Organisation, and can we show it reconciles with the others?

Authority is recorded on the entity type, and the systems share a resolved identifier, so I compared them.

Used topquadrant-mcp, reconciled 3 systems

Grants registry · 2 of 3 reconcile
SystemRecordsReconciles?
Grants registry184,220Authoritative
Finance ledger183,905Yes, within tolerance
Legacy case system179,441No — 4,779 open
Aligned to nc:OrganizationType, divergence assigned to Data Stewardship

The answer, plus the exception.

Naming the 4,779 records that do not reconcile is what makes the other 183,905 believable.

Government
“The model outlived the programme that built it. That has not happened before here.”
Enterprise Data Architect
Federal agency