What is a Common Data Model (CDM)?

A Common Data Model (CDM) is a standardized and structured way to organize and describe data in a consistent and interoperable format. It is designed to facilitate data integration and sharing across different systems, applications, and organizations. The primary goal of a Common Data Model is to provide a common framework for data representation, making it easier for disparate systems to understand, exchange, and work with data.

Here are some key features and concepts associated with Common Data Models:

1. Standardization — CDMs define standardized data structures, such as entities, attributes, and relationships, which help ensure that data is organized consistently. This makes it easier to map data between different systems.
2. Interoperability — By using a common data model, various applications and databases can more easily exchange data. This is especially valuable in scenarios where different organizations need to collaborate or integrate data.
3. Semantic Understanding — CDMs often include clear definitions and semantic meaning for data elements. This helps ensure that everyone working with the data understands its purpose and context.
4. Extensibility — While CDMs provide standard structures, they typically allow for extensions and customizations to meet specific business or industry needs.
5. Data Integration — CDMs can be used in data integration projects to harmonize data from different sources. This simplifies the process of data transformation and mapping.
6. Industry-specific Models — In addition to general-purpose CDMs, there are industry-specific CDMs. For example, Microsoft’s Common Data Model includes industry accelerators for healthcare, finance, and more.
7. Data Modeling Tools — Some Common Data Models are accompanied by data modeling tools or platforms to help organizations create, manage, and govern data conforming to the model.

One of the notable Common Data Models is the Common Data Model by Microsoft, which is part of the Microsoft Power Platform and is used for building data-driven applications and analytics. Other organizations and industries have also developed their own common data models to facilitate data sharing and interoperability within their specific domains.

Overall, Common Data Models play a crucial role in data integration and data sharing, making it easier for organizations to work with diverse data sources and promote data consistency and compatibility.

Related references

IBM, IBM Analytics

IBM Analytics, Technology, Database Management, Data Warehousing, Industry Models

• https://www.ibm.com/analytics/us/en/technology/industry-models/

github.com

Observational Health Data Sciences and Informatics (OHDSI)/Common Data Model

• https://github.com/OHDSI/CommonDataModel

Oracle

Oracle Technology Network, Database, More Key Features, Utilities Data Model

• https://www.oracle.com/database/utilities-data-model/index.html

Oracle

Industries, Communications, Service Providers, Products, Data Mode, Oracle Communications Data Model

• https://www.oracle.com/industries/communications/service-providers/products/data-model/index.html

Oracle

Oracle Technology Network, Database, More Key Features, Airline data Model

• http://www.oracle.com/technetwork/database/options/airlines-data-model/airlinesdatamodelmain-1435864.html