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.
Monthly Archives: octubre 2017
Introductory Notes
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 […]
Goals
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 […]
Core Questions
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 […]
Related Process Area
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 […]
Functional Practice
[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 […]
Example Work Products
Purpose
Supports a common understanding of terms and definitions about structured and unstructured data supporting business processes for all stakeholders.
Introductory Notes
The business glossary is an approved, governed compendium of business term names and definitions. The process defines how the organization creates, approves, updates, and promulgates consistent business terms and definitions, fostering shared data usage across the organization. Consistent terms and definitions, with corresponding metadata, are essential to managing corporate data in the context of meaning. […]
Goals
1. The language that represents the data is unambiguously aligned with the language of the business. 2. The organization has created a comprehensive, approved business glossary. 3. The organization follows the standards for naming, definitions, and metadata associated with business terms. 4. Organization-wide access to the business glossary allows all stakeholders to achieve a common […]