OMG Standard

Data Product Ontology

An OMG standard for describing Data Products using W3C Linked Data technologies, enabling interoperability and discoverability in decentralized data ecosystems

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What is DPROD?

The Data Product Ontology (DPROD) is an Object Management Group (OMG) standard that profiles the W3C Data Catalog Vocabulary (DCAT) to specifically describe Data Products. As organizations increasingly adopt decentralized data architectures like Data Mesh, DPROD provides the standardization needed to ensure interoperability and unlock the full potential of distributed data ecosystems.

Built on established W3C technologies including DCAT, RDF, OWL, SHACL, and PROV, DPROD offers a clear schema for describing data products, ensuring they are discoverable, interoperable, and treated with the same level of accountability as traditional products.

Key Benefits

Decentralized Architecture

Enable Data Mesh and other decentralized data architectures by providing standard methods to describe data products consistently across platforms and domains.

Standardized Metadata

Eliminate inconsistent metadata across data products with an OMG standard framework that leverages W3C technologies for machine-readable descriptions.

Input & Output Ports

Clearly define how data enters and leaves data products through standardized input and output ports, supporting various formats and protocols.

Data Governance

Integrate with ODRL for rights management, PROV for lineage, and DQV for quality metrics, ensuring comprehensive data governance.

Articles & Talks

Tony Seale: Data Products & Ontologies (DPROD)

A practical introduction to DPROD as a "first step" towards a distributed knowledge graph—covering JSON-LD contexts, linkable product identifiers, and connecting outputs to shared semantic schemas.

Read the article

OMG announcement: DPROD published for public comment

The official OMG news release explains the motivation for DPROD, the Request for Comments process, and the problems it targets (inconsistent metadata, limited discoverability, and interoperability).

Read the OMG release

Workshop video: AI agents with reusable Data Products (DPROD)

A practical session on building reusable semantic data products with DPROD and connecting them into a decentralized knowledge graph for AI/agent use cases.

Watch the video

agnos.ai: Beyond Data Mesh—how Virtual Knowledge Graphs prevent "Data Mess"

A perspective on why "data products" alone are not enough—without a semantic foundation, decentralized ownership tends to create fragmentation. Links Data Mesh concepts to operational knowledge graphs and governance.

Read the article

Podcast: Knowledge-first Data Products & the Data Economy (Jacobus Geluk)

A discussion of use case-driven approaches and semantic coordination as foundations for scalable data product marketplaces—useful context for why standards like DPROD matter.

Open the podcast page

Ontologies & LLMs (Tony Seale)

Background reading on why formal semantics matter for AI—and why linking data products to shared concepts helps make data more machine-understandable.

Read the article

OMG Standard with W3C Technologies

DPROD is an OMG standard built on established W3C technologies including DCAT, RDF, OWL, SHACL, and PROV. The specification includes:

Complete ontology with classes and properties
SHACL shapes for validation
JSON-LD context for easy JSON integration
Worked examples and best practices

View Specification OMG Public Comment Notice GitHub Repository