Data Domains & Stewardship

TXST Data is organized using a data domain model to clearly define and delineate data stewardship responsibilities and facilitiate effective coordination across the organization. The data domain model fits the needs of most higher education organizations, where data domain information is typically dispersed across multiple areas within the organization. Although these areas may fall under different university divisions or offices, they collaborate to ensure the data within each domain is properly maintained. 

data domains and subdomains diagram

What is a Data Domain?

Data domains refer to broad categories or areas of related data within an organization that share common characteristics or serve a specific purpose. These domains are used to group data based on its function, subject matter, and/or business use. This data often originates from different source systems. Examples of data domains are: Employee Data, Student Data, Financial Data, etc. 

What is a Data Subdomain?

Data subdomains are more specific categories that fall under a broader data domain. These subdomains represent finer divisions of data that correspond to particular business processes or areas of activity within the broader domain. Examples of a subdomain within the Employee Data domain are: Benefits, Compensation, Professional Development, etc. 

  • The logical groupings of domains/subdomains serve as a structured way of understanding and managing the data that an organization collects and uses. Often these groupings of data are found within a data lake or data warehouse. Furthermore, these groupings of data allow for thoughtful master data management. 

  • Master data management is a comprehensive approach to managing an organization’s key data assets. At the core of master data management are data domains. This approach involves creating a single master record for your data that can be used to validate other pieces of data. This approach ensures scalability and promotes data integrity across an organization.