Meta-Data Implements Your Enterprise Architecture

Enterprise Architecture (EA) is the conceptual design for the system which collects the common meta-data from across National Institute of Health (NIH) and establishes the rules and requirements for its reuse. This has been particularly challenging in the area of bio-informatics. Studying the meta-data in this area has revealed that much of the data is qualitative in nature, and that similar concepts are described in different parameter spaces. This leads to extremely difficult integration problems that can only be solved with complex transformation schemes enable by the Common Warehouse Meta-model.

• Enterprise Architecture must direct the managed growth toward corporate data reuse
• Corporate-wide inventory of applications emphasizes the need for the enterprise focus
• Early achievements such as common login and consolidated email establish visibility and interest
• Determine the primary corporate objects
• Define the meta-data for corporate objects, data sharing from existing applications and primary processes
• Establish a capability to capture and manage requirements outside as well as inside projects
• Develop an information technology repository.
• Establish a process for achieving consensus on standards and project scopes
• Develop a formal engineering approach for implementing the enterprise architecture