Open Data Product Standards

Adopt data product standards with the person who created them.

I created the Open Data Product Specification and continue to maintain the standards family under LF AI & Data, part of the Linux Foundation.

Organizations now use ODPS in enterprise products and data environments, while others are evaluating how the standards fit their architecture, governance and AI direction.

I work directly with organizations that want to evaluate, adopt or operationalize ODPS. The standard stays open. The engagement focuses on making it work in your environment.

Discuss an ODPS engagement Explore the ODPS standards

Jarkko Moilanen with data product interface elements

Creator of ODPSMaintained under LF AI & DataEnterprise adoption and evaluationOpen-source Python SDK and MCP toolingData products designed for people, platforms and AI agents

ODPS Enterprise Services

A specialist service family.

ODPS Enterprise Readiness Assessment

2 to 4-week engagement

You are evaluating ODPS, but need to understand how it fits your existing data architecture, catalog, governance and operating model.

I assess your current environment against the ODPS standards family and identify where adoption creates value, where integration is required and where existing practices should remain.

You leave with

Current-state assessment
ODPS fit and gap analysis
Target adoption model
Architecture and integration recommendations
Governance implications
Prioritized adoption roadmap
Executive decision brief

Best for

Organizations evaluating ODPS before committing to implementation.

Typical investment$20K–$40K

ODPS Adoption & Implementation

6 to 12-week engagement

You have decided to adopt ODPS and need to turn the standard into a working enterprise capability.

I work with your business, data, architecture and platform teams to define how ODPS fits your environment and establish the first implementation. The work can cover ODPS product specifications, catalogs, product graphs, controlled vocabularies, workflows, enterprise profiles, SDK automation and integration with existing platforms.

You leave with

Enterprise ODPS adoption model
Enterprise profiles and conventions
Initial product specifications
Catalog and graph structure
Integration architecture
SDK and automation approach
Governance and ownership model
Implementation backlog
Working reference implementation where included in scope

Best for

Organizations moving from ODPS evaluation into implementation.

Typical investmentFrom $50K

Agent-Ready Data Product Architecture

4 to 8-week engagement

Your AI agents need more than access to databases, APIs and documents. They need structured product context, ownership, semantics, relationships, quality expectations and governance.

I help structure your data products so people, platforms and AI agents work from the same governed product context. The engagement connects the ODPS standards family with AI agent architecture, MCP, knowledge graphs, enterprise APIs and your existing data platforms.

You leave with

Agent-readiness assessment
Product context architecture
Machine-readable data product contracts
Product and dependency graph design
Agent access and tool boundaries
MCP integration approach
Governance and control model
Reference agent workflows
Implementation roadmap

Best for

Organizations building enterprise AI agents that need governed access to trusted data products.

Typical investment$35K–$70K

ODPS Expert Advisory

Ongoing or focused advisory

Get direct access to the creator and maintainer of ODPS while your organization evaluates, implements or integrates the standards.

I work with enterprise architects, product leaders, data offices, platform teams and vendors on decisions where direct knowledge of the standards and their design direction reduces uncertainty and implementation risk.

Typical work includes

Architecture reviews
ODPS implementation reviews
Enterprise profile design
Platform integration decisions
Data product modeling
Catalog and graph design
AI and agent readiness
SDK adoption
Governance decisions
Vendor and technology reviews

Best for

Organizations already working with ODPS that need senior specialist guidance without a full implementation engagement.

Typical investmentFrom $2.5K/day

Typical investment ranges are indicative. Commercial consulting, advisory and implementation services are provided independently by Jarkko Moilanen through Data Maestro Academy FZE LLC. ODPS remains an open standard maintained under LF AI & Data, and commercial services are not required to use it.

Implementation experience

The standard is open. Deep implementation experience is scarce.

ODPS started as an open specification for describing data products and has grown into a standards family covering products, catalogs, graphs and shared vocabulary, supported by developer tooling for automation and AI agents.

I work across both sides of that system. I lead the standards work and build the software and implementation patterns around it. I also work with enterprise and government environments where data products need to operate inside existing architecture, governance and delivery constraints.

An ODPS engagement therefore starts with your environment and the decisions required to make adoption work.

Tested against real enterprise needs.

Public references on the current site include ODPS-related work involving Alation, BASF and Kruger. Additional named commercial references are not added unless public evidence or permission exists.

Alation
BASF
Kruger

Fit

ODPS engagement or wider AI transformation?

ODPS Enterprise Services focus on data product standards, interoperability, implementation and agent-ready product architecture.

For wider AI portfolio, operating model and agent architecture needs, use the existing AI consulting engagements.

Some programs involve both. An AI portfolio or agent architecture engagement can expose the need for stronger data product foundations. An ODPS engagement can expand into a wider AI product operating model.

Explore the general AI consulting engagements

Evaluating ODPS?

Send me the situation you are working with.

Discuss an ODPS engagement

Discuss an ODPS engagement Explore the ODPS standards

If your organization is considering ODPS, implementing it, integrating it into a platform or preparing data products for AI agents, send me the situation you are working with.

I will tell you where direct involvement from the ODPS maintainer adds value and where it does not.

Data Maestro Academy FZE LLC