Category: 03 Metadata Management

Establish the processes and infrastructure for specifying and extending clear and organized information about the structured and unstructured data assets under management, fostering and supporting data sharing, ensuring compliant use of data, improving responsiveness to business changes, and reducing data-related risks.

Metadata is a category of information that identifies, describes, explains, and provides content, context, structure, and classifications pertaining to an organization’s data assets and enables e ective retrieval, usage, and management of these assets. The metadata developed by an organization is the mechanism allowing data asset knowledge to be established and enhanced over time. Effective […]

1. Senior managers appreciate the value of metadata because it is expressed in a language they can understand. 2. Data governance oversight directs the development and implementation of the metadata strategy, categorizations, and standards, as well as ensures adoption and consistent use across the organization. 3. The contents of the metadata repository span all relevant […]

1. Is the metadata strategy defined and aligned with internal and selected external standards? 2. How is the scope of metadata to be addressed for inclusion within the metadata repository defined? 3. Are all relevant stakeholders involved in defining metadata categories and properties? 4. What is the method for developing and evaluating standards and processes […]

Governance Management provides information about data governance structures and roles. Data Management Function provides information related to the roles of data management sta in developing and supporting metadata management. Data Management Lifecycle gives more information related to interdependencies. Data Requirements Definition contains information about developing data requirements with corresponding metadata. Architectural Approach provides information about […]

[tabby title=»Performed»] 1.1 Metadata documentation is developed, stored, and accessible. An organization typically maintains information about data assets in multiple locations for di erent purposes. Metadata may be captured and stored in data models, project documentation, operational documentation, or in business term lists. Collectively, these sources constitute a virtual metadata repository. Organizations should identify sources […]