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GEIA-859-2004 data management

Standard Number:  GEIA-859-2004
Title:  data management
Language:  English
Replaced by Standard:  GEIA 859:2009

Publication Date:  2004/8/4
Status:  Withdrawn
Publisher:  Other Standards
Price:  
Number of Pages:94  

Description:Data is information (e.g., concepts, thoughts, opinions) that has been recorded in a form that is convenient to move or process. Data can be tables of values of various types (numbers, characters, and so on). Data can also take more complex forms such a  
Catalog:Foreword
Introduction
Scope
Overview
Terminology
References
1.0 Principle: Define the Enterprise Relevant Scope
of Data Management
2.0 Principle: Plan for, Acquire, and Provide Data
Responsive to Customer Requirements
Introduction
2.1 Enabler: Establish General Requirements for Data
2.2 Enabler: Develop Data Strategy and Data Concept
of Operations
2.3 Enabler: Determine Specific Data Requirements
2.4 Enabler: Perform Risk Analysis
2.5 Enabler: Authenticate Data Requirements
2.6 Enabler: Contract for Data
3.0 Principle: Develop DM Processes to Fit the Context and
Business Environment in Which They Will Be Performed
Introduction
3.1 Enabler: Determine the Complete Set of Requirements
that the DM Solution Must Address
3.2 Enabler: Determine the Shape of the DM Solution
3.3 Enabler: Compare the Proposed, Best Solution to
Existing and Planned Enterprise Capability
(Infrastructure and Processes)
3.4 Enabler: Make Needed Adjustments in Processes,
Practices, Policy, Organizational Alignment, and
Infrastructure
4.0 Principle: Identify Data Products and Views So Their
Requirements and Attributes Can Be Controlled
Introduction
4.1 Enabler: Develop Consistent Methods for Describing
Data
4.2 Enabler: Establish Relevant Attributes to Refer
to and Define Data
4.3 Enabler: Assign Identifying Information to
Distribution Similar or Related Data Products from
Each Other
5.0 Principle: Control Data, Data Products, Data Views,
and Metadata Using Approved Change Control Processes
Introduction
5.1 Enabler: Control the Integrity of Data, Data
Elements, Data Structures, and Data Views
5.2 Enabler: Establish and Maintain a Status Accounting
Process, Reporting Tool, and Mechanism
5.3 Enabler: Establish and Maintain an Internal
Validation Mechanism
6.0 Principle: Establish and Maintain a Management Process
for Intellectual Property, Proprietary Information, and
Competition-Sensitive Data
Introduction
6.1 Enabler: Establish and Maintain a Process for Data
Access and Distribution
6.2 Enabler: Establish and Maintain an Identification
Process for IP, Proprietary Information, and
Competition-Sensitive Data
6.3 Enabler: Establish and Maintain an Effective Data
Control Process
7.0 Principle: Retain Data Commensurate with Value
Introduction
7.1 Plan to Ensure Data Are Available When Later Needed
7.2 Maintain Data Assets and an Index of Enterprise
Data Assets
7.3 Assess the Current and Potential Future Value of
Enterprise Data Holdings
7.4 Dispose of Data
8.0 Principle: Continuously Improve Data Management
Introduction
8.1 Enabler: Recognize the Need to Continuously Improve
the Quality of Data
8.2 Enabler: Establish and Maintain a Metric Process
and Reporting Strategy
8.3 Enabler: Monitor the Quality of Data to Improve
Data and Processes
8.4 Enabler: Improve Data Management Through a Systematic
and Self-Diagnostic Process
8.5 Enabler: Establish the Necessary Tools and
Infrastructure to Support the Process and Assess the
Results
9.0 Principle: Effectively Integrate Data Management and
Knowledge Management
Introduction
9.1 Enabler: Establish the Relationship Between Data
Management and Knowledge Management
9.2 Enabler: Cooperate with Knowledge Management Where
DM and KM Intersect as KM Methods Develop
10.0 Application Notes
Annex A - Participants
Annex B - GEIA-859 Glossary
Annex C - Data Management Function Table
Annex D - Non-Commercial Practices for Data Management  
File Format:  PDF(Acrobat Reader) or Word version doc Document
File Size:  615KB
Tile in English:  data management

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