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This section provides additional context and practical considerations for applying the Core, Common, and Unique (CCU) framework. While not required to understand the categories themselves, these notes are useful for service owners, IT leadership, and governance teams when aligning services across OneIT.
Background and evolution
- The CCU concept was originally adapted from models used at institutions like The Ohio State University (circa 2018) and influenced by Gartner frameworks.
- Variants of the model exist, including "Core, Consumable, Unique," but the CCU structure used here aligns best with the diversity of service delivery at a large research institution.
- The model is designed to support communication, governance, and service classification—not to replace formal frameworks like ITIL.
Service transitions over time
While CCU categories are based on a service’s current role, some services may shift between categories over time as adoption grows, funding structures change, or technical scope evolves. For example:
- Salesforce was a Common service in 2025 but could become Core if it is more broadly adopted and centrally supported.
- MyWeb transitioned from Core to Unique before being deprecated.
These transitions are context-specific and should be reviewed periodically.
Visualization and communication aids
To help reinforce the conceptual distinctions across the CCU categories, OneIT uses informal iconography:
- Core: Often represented by infrastructure-related imagery (e.g., networks, shared campus tools).
- Common: May use academic or departmental visuals (e.g., mortarboards) to reflect shared but distributed use.
- Unique: Illustrated with tools such as microscopes or lab-specific devices, reflecting specialization.
This informal visual framework supports internal communication and stakeholder engagement when discussing service classification.
Complementing the criticality model
CCU classification works best when paired with service criticality, which describes how essential a service is to university operations. While CCU explains who provides and supports a service, criticality defines the operational or strategic importance of the service.
| Attribute | Description | Example Use Case |
|---|---|---|
| CCU | Who provides or supports the service | Governance alignment, funding model decisions |
| Criticality | How essential the service is to mission operations | Business continuity, disaster recovery planning |
Criticality levels (as used in service review forms)
- Critical to university/UIHC operations
- Critical to departmental operations
- Critical to research or clinical operations
- Non-critical
Important note
A Core service is not always critical (e.g., LinkedIn Learning), and a Unique service can be critical (e.g., a research system necessary for grant-funded continuity). CCU and criticality should be evaluated independently but used in tandem to guide service prioritization.
Comparison chart
| Attribute | Core services | Common services | Unique services |
|---|---|---|---|
| Definition | Foundation of the technology service portfolio, broadly used, centrally funded, and operationally important across colleges, departments, and administrative units. | Middle ground of the university’s service portfolio, broadly useful across several colleges or departments but not adopted, funded, or governed at the university-wide level. | Specialized solutions tailored to the needs of a specific college, administrative unit, division, lab, or other localized workgroup. |
| Funding | Centrally funded. | Collaborative funding models, often shared across groups. | Funded by individual units such as departments, labs, or colleges. |
| Usage | Extensively used across colleges and administrative units. | Used by multiple colleges or administrative units but not universally adopted at the campus level. | Supports operations of a specific department, lab, or program with limited applicability beyond that context. |
| Support | Comprehensive technical support, including incident management and third-tier support. | Distributed support approach, with central IT assisting with onboarding or integration. | Localized support responsibility, often provided by a single staff member or subject matter expert. |
| Redundancy | Extensive efforts for high availability. | Limited duplication at the feature or implementation level. | Highly specialized or customized, with multiple variations across similar units. |
| Examples | Network connectivity, email, Microsoft 365, identity and access management (IAM). | Calendar cloud platforms (Calendly, Microsoft Bookings), statistical software packages (e.g., SAS, SPSS, R), Salesforce. | Instructional software specific to a program of study, two-way SMS services, technology attached to hardware (e.g., Enersight with Leica microscope integrations). |