Resources

The Resources page is the entry point for anyone who wants to understand, adopt, or contribute to the Cloud Information Model (CIM). CIM is an open-source, application-agnostic data model — stewarded under The Linux Foundation — that defines a shared vocabulary of business entities so that cloud and on-premises systems can exchange data without each integration team reinventing its own schema.

This page collects the artifacts you need to evaluate CIM, the formats it supports, the repositories where the models live, and the channels for getting involved. If you are evaluating CIM against alternatives, our guide to the application agnostic data model is a good starting point.

Key Takeaways

• CIM is a shared, vendor-neutral data model, not a product or a database — it describes entities, attributes, and relationships that multiple applications can map to.
• The primary technical assets live in the CIM GitHub organization, where the model definitions and tooling are versioned and openly licensed.
• CIM is expressed in multiple standard formats so it can be consumed by different toolchains rather than locking you into one serialization.
• The presentation, FAQ, and news pages are the fastest way to build a business case and answer stakeholder questions before a technical deep dive.
• Contribution happens through the GitHub repositories and the contributor web form; the model evolves through community review rather than a single vendor’s roadmap.

What the Cloud Information Model Actually Is

CIM is best understood as a canonical model: a neutral, agreed-upon representation of business concepts — customers, accounts, orders, products, contacts, and the relationships among them — that sits between the systems you already run. Rather than forcing every application to speak every other application’s dialect, you map each system to CIM once, and CIM becomes the interchange point.

This is the same architectural pattern that has appeared repeatedly in enterprise integration: a hub-and-spoke canonical schema instead of a mesh of point-to-point mappings. It is conceptually related to efforts like the OASIS Universal Business Language (UBL) for documents, the Open Applications Group Integration Specification (OAGIS) for business messages, and schema.org for web-scale vocabularies. CIM’s distinguishing emphasis is that it is application-agnostic and designed for the cloud-plus-on-premises reality most enterprises actually operate in.

The practical payoff is reduced mapping sprawl. If you have n systems and each must talk to every other, you face on the order of n² mappings. Introduce a canonical model and the work drops toward n mappings — one per system to the shared model. That reduction is the core economic argument for adopting CIM.

CIM Presentation

The CIM Presentation is the recommended starting artifact for anyone building a case internally. It is designed to be shown to mixed audiences — architects, data governance leads, and business sponsors — and covers the motivation for a shared model, the scope of what CIM defines, and how it fits into an existing integration landscape.

Use it as follows:

• For executives and sponsors: lead with the mapping-sprawl problem and the vendor-neutrality argument. The presentation frames CIM as risk reduction, not as a rip-and-replace.
• For architects and engineers: use it to set context, then move immediately to the GitHub repositories for the actual model definitions.
• For governance and compliance stakeholders: use it to open the conversation about ownership, versioning, and how model changes are reviewed.

A presentation is a conversation starter, not a specification. Treat it as the on-ramp, and treat the repositories as the source of truth.

CIM Formats

CIM deliberately supports multiple standards and formats rather than a single proprietary serialization. This matters because enterprise toolchains are heterogeneous: your modeling tool, your ETL platform, your API gateway, and your documentation generator may each prefer a different representation.

Commonly relevant format families in this space include:

• Entity-relationship and conceptual notations for human review and design workshops.
• JSON-based schema representations for API and application consumption.
• RDF and ontology-style representations for semantic and knowledge-graph use cases.
• Relational and tabular mappings for warehouse and ETL pipelines.

The design principle is portability: a model expressed in an open format can be transformed, diffed, version-controlled, and validated by standard tooling. When you evaluate CIM for your organization, the question to ask is not “which format does it use?” but “can I round-trip my model through the formats my tools require without loss?” If a format conversion silently drops relationship cardinality or attribute constraints, that is a real integration risk worth testing early.

How to decide which format to adopt

Use this as a quick decision guide:

If your primary consumer is…	Favor a representation that…	Watch out for…
Application/API developers	JSON-style schemas	Loss of relationship semantics in flat JSON
Data warehouse / ETL teams	Relational or tabular mappings	Many-to-many relationships needing bridge tables
Knowledge graph / semantic teams	RDF/ontology representations	Tooling maturity and query performance
Design and governance workshops	Conceptual/ER notation	Drift between the diagram and the machine-readable model

The last row is the most common failure mode: teams maintain a beautiful diagram that no longer matches the versioned model. Keep the diagram generated from, or at least reconciled against, the repository artifacts.

CIM in the News

The “CIM in the News” section aggregates external coverage — announcements, analyst commentary, and community write-ups — so you can see how CIM is being received outside the project itself. This is useful for two reasons.

First, it provides third-party validation. When you propose adopting a shared model, citing independent coverage is more persuasive than citing the project’s own marketing. Second, it surfaces real-world adoption stories and integration patterns that the core documentation may not cover.

Read news coverage critically. Announcements often describe intent and partnership rather than deployed production usage. Distinguish between “organization X joined the effort” and “organization X runs CIM in production for system Y.” The former is common; the latter is the evidence that matters for a build-vs-adopt decision.

CIM GitHub Organization

The GitHub organization is where the substance lives. For technical readers, this is the destination that matters most. Expect to find:

• Model definitions — the entities, attributes, relationships, and constraints that constitute CIM.
• Tooling — scripts and utilities for validating, transforming, and generating artifacts from the model.
• Versioning and history — the commit history that shows how the model has evolved and why.
• Issues and discussions — the working record of proposals, questions, and decisions.

A few practical habits make the repositories far more useful:

• Pin to a release or tag rather than tracking the default branch, so your mappings don’t shift under you mid-project.
• Read the commit history for the entities you care about before adopting them. A field that changed three times in a year signals an unstable area.
• Check the license on each repository. Open-source projects sometimes mix licenses across tooling and model content.
• File issues for ambiguities. If a relationship’s cardinality is unclear, that ambiguity will bite every downstream team; raising it early improves the model for everyone.

For organizations with strict supply-chain or provenance requirements, review the repositories the way you would review any third-party dependency: license, maintenance activity, contributor diversity, and release cadence. A model that depends on a single maintainer is a different risk profile than one with broad organizational backing.

Frequently Asked Questions

Is the Cloud Information Model a product I can buy?

No. CIM is an open-source data model — a set of definitions and supporting artifacts — stewarded under The Linux Foundation. You adopt it by mapping your systems to it and using the published model definitions; there is no license fee for the model itself. Vendors may build products that support or embed CIM, but the model is not a commercial offering.

Do I have to replace my existing systems to use CIM?

No, and that is the point. CIM is designed to sit between systems as a canonical interchange model. You keep your applications, databases, and warehouses, and you build mappings from each system to CIM. This is incremental: you can start with a single high-value integration and expand coverage over time.

Which format should I use to consume CIM?

It depends on your consumer. API and application teams generally favor JSON-style schema representations; warehouse and ETL teams favor relational or tabular mappings; semantic and knowledge-graph teams favor RDF/ontology representations. The key test is lossless round-tripping — verify that converting between formats preserves relationships and constraints before committing.

How does CIM relate to other standards like UBL or OAGIS?

They occupy adjacent problem spaces. UBL and OAGIS focus heavily on business documents and messages exchanged between parties, while CIM emphasizes a shared entity model that applications map to. In practice they can be complementary: a canonical entity model can inform how you populate document standards. Evaluate overlap for your specific use cases rather than assuming one replaces another.

How do I contribute to CIM?

Contribution flows primarily through the CIM GitHub organization — issues, pull requests, and discussions — along with the contributor web form linked from this site. Because the model is community-governed, proposals are reviewed openly. Start small: clarify an ambiguous definition or add a missing attribute with a clear rationale, and engage with maintainers before proposing large structural changes.

Where should a non-technical stakeholder start?

Begin with the CIM Presentation and the FAQ, then skim “CIM in the News” for third-party context. These give you the motivation and the vocabulary without requiring you to read model definitions. Bring the technical team in once you have a candidate integration to pilot, and let them work from the GitHub repositories.

Getting Involved and Further Reading

Adoption of a shared model is as much an organizational effort as a technical one. The most successful CIM initiatives tend to start with a single, well-bounded integration — one where two systems currently require brittle custom mapping — prove the canonical-model approach, and then expand. Governance matters: decide early who owns your internal CIM mappings, how model version upgrades are handled, and how conflicts between business definitions are resolved.

For background on the stewardship and open-governance context, see the Linux Foundation on Wikipedia. For related standards work, the OASIS Universal Business Language and schema.org are useful reference points when comparing canonical-model approaches. To go deeper on semantic modeling, the World Wide Web Consortium (W3C) publishes the RDF and OWL specifications that underpin ontology-style representations.

Use the navigation on this site to reach the presentation, the FAQ, the formats documentation, the news roundup, and the GitHub repositories — and use the contributor web form when you are ready to participate in shaping the model.