Packaged metamodel for the Data Helpdesk

The Data Helpdesk has specific asset types and domain types.

Asset types

The table below contains the packaged asset types that are relevant for the Data Helpdesk.

Tip

Use these options to filter the rows and columns of the table to your needs:

Show column with the domain types in which you can create assets of this type. If there are no domain types, the value is None.

Asset type	Asset type	Description
AI Model	Business Asset AI Model	AI Model is a statistical model that is trained on datasets in order to make predictions on new data.
AWS Bedrock AI Model	Business Asset AI Model AWS Bedrock AI Model	A subtype of AI Model that represents AI models in Amazon Bedrock.
AWS SageMaker AI Model	Business Asset AI Model AWS SageMaker AI Model	A subtype of AI Model that represents AI models in Amazon SageMaker.
Azure AI model	Business Asset AI Model Azure AI model	A subtype of AI Model that represents AI models in Microsoft Azure AI.
Databricks AI Model	Business Asset AI Model Databricks AI Model	A subtype of AI Model that represents AI models in Databricks Unity Catalog.
Vertex AI Model	Business Asset AI Model Vertex AI Model	A subtype of AI Model that represents AI models in Google Vertex AI.
AI Use Case	Business Asset AI Use Case	An AI Use Case is a specific application of artificial intelligence (AI) and AI Models trained on specific data in order to solve a business problem and deliver business value. Implementing AI Use Case may result in automating a task, improve decision-making or develop new products and services.
Data Concept	Business Asset Business Dimension Data Concept	A data concept is a high level theoretical representation of the most common data properties of a data domain. A data concept is the business counterpart of a data attribute in a logical data dictionary, just as a data attribute is the logical counterpart of a field or column in the physical data dictionary. (Example: an address is a data concept of the data domain customer or organization).
Data Domain	Business Asset Business Dimension Data Domain	Also known as Data Category or Subject area, this is a container of all the business data domains and data concepts that encompass associated terminology and definitions that an organization is trying to govern. Examples: Master Data (Customer, Product), Reference Data. Business Data Domains group Data Concepts (Year, Date, Address, Name, etc.)
Party	Business Asset Business Dimension Party	An association, corporation, partnership, proprietorship, trust, or individual that has legal standing. A Party has legal capacity to enter into agreements or contracts, assume obligations, incur and pay debts, sue and be sued in its own right, and to be held responsible for its actions.
Vendor	Business Asset Business Dimension Party Vendor	A provider of goods or services.
Data Attribute	Data Asset Data Element Data Attribute	A specification that defines a property of a data entity. Examples: CustomerBirthDate, EmployeeFirstName
Data Set	Data Asset Data Set	A collection of related sets of data assets that are data elements or composed of data elements. Example: Customer Contact information
Data Entity	Data Asset Data Structure Data Entity	A unit of data that can be classified and can have a stated relationship to other units of data. Examples: Customer, Employee
Data Model	Data Asset Data Structure Data Model	A diagram that organizes data elements and standardizes how the data elements relate to one another. The Data Model is often used as a communication aid between business and technology. Examples: Customer Subject area model, Event Subject area model
Data Usage	Data Asset Data Usage	An asset that clearly documents how the data can be used between data produces and consumers for specific purpose Example: Sales growth information that is available to share for read-only requirements
Assessment Review	Governance Asset Assessment Review	An asset of this type is created when an assessment is conducted on an asset and submitted for review.
Data Quality Dimension	Governance Asset Data Quality Dimension	Represents criteria that are relevant for assessing quality and categorizes different aspects of how data quality is measured. Examples: accuracy, completeness, consistency
Issue Category	Governance Asset Issue Category	Allows you to categorize Issue type assets to help with organization and reporting. Example: You want to differentiate between types of issues, such as a Duplication issue or a Completeness issue.
Data Quality Metric	Governance Asset Rule Data Quality Metric	An implementation of data quality rules in a selected physical database system using a particular data quality tool. Example: CRM.ACT.Tx_ID cannot be null, must be a 9-digit number and has to take the 999-99-9999 format in the CRM system, and ERP.Cust.SSN has to take the 999999999 format in the ERP system.
Data Quality Rule	Governance Asset Rule Data Quality Rule	A specification that defines which actions are required to measure the quality level of a data element for its intended use. Example: SSN must be a unique 9-digit identification number for 100% of US personal accounts for tax processing.
Issue	Issue	The parent asset type of all issues.
Data Issue	Issue Data Issue	A problem related to issue management, also referred to as "issue".

In the latest UI, you can view the associated product by adding the Products column to the Asset types tab page in the Collibra settings. You can then also see whether the product is active in your environment.

Domain types

The table below contains the packaged domain types that are relevant for the Data Helpdesk.

Tip

Use these options to filter the rows and columns of the table to your needs:

Show column with the allowed asset types

Type	Type	Description	Asset types
Governance Asset Domain	Governance Asset Domain		Data Quality Dimension Issue Category
Assessment Review Register	Data Governance Domain Assessment Review Register	Domain type for Assessment Review assets, which are created when an assessment is conducted on an asset and submitted for review.	Assessment Review
Rulebook	Data Governance Domain Rulebook	A set of rules that are used as a basis for making decisions and governing programs or policies.	Rule Business Rule Data Quality Metric Data Quality Rule

Workflows

The table below contains the packaged workflows that are relevant for the Data Helpdesk.

Name	Description	Visual representation
Cancel Process	This process notifies the concerned users of a workflow cancellation.
Escalation Process	This process is the default mechanism for the escalation of user tasks in workflows.
Issue Creation	This process facilitates issue creation.
Issue Management	This process is used to route and resolve issues.
Issue Move	The Issue Move workflow is a process that changes the responsible community of an issue.
Propose New Governance Asset	This process facilitates the creation of new Governance Assets in the Data Governance Council community.
Simple Approval	The Simple Approval workflow is a single-step process that allows you to approve an asset in Collibra Data Intelligence Platform.
Voting Sub-Process	The Voting Sub-Process is a workflow that can be called by other workflows when users need to vote. It is used within other packaged workflows such as the Approval Process, the Simple Approval or the Issue Management workflow. You can use this sub-process in new custom workflows. The result is a true or false boolean that is provided to the parent workflow.