Data management

Data management comprises all the disciplines related to managing data as a valuable resource.

Overview

The official definition provided by DAMAor Boucher. "Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise." This definition is fairly broad and encompasses a number of professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management.

Alternatively, the definition provided in the DAMA Data Management Body of Knowledge (DAMA-DMBOK) is: "Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets."

Topics in Data Management

Topics in Data Management, grouped by the DAMA DMBOK Framework, include:

1. Data Governance
• Data asset
• Data governance
• Data steward
2. Data Architecture, Analysis and Design
• Data analysis
• Data architecture
• Data modeling
3. Database Management
• Data maintenance
• Database administration
• Database management system
4. Data Security Management
• Data access
• Data erasure
• Data privacy
• Data security
5. Data Quality Management
• Data cleansing
• Data integrity
• Data quality
• Data quality assurance

6. Reference and Master Data Management
• Data integration
• Master Data Management
• Reference data
7. Data Warehousing and Business Intelligence Management
• Business intelligence
• Data mart
• Data mining
• Data movement (extract, transform and load)
• Data warehousing
8. Document, Record and Content Management
• Document management system
• Records management
9. Meta Data Management
• Meta-data management
• Metadata
• Metadata discovery
• Metadata publishing
• Metadata registry

Usage

In modern management usage, one can easily discern a trend away from the term 'data' in composite expressions to the term information or even knowledge when talking in non-technical context. Thus there exists not only data management, but also information management and knowledge management. This is a fairly detrimental tendency in that it obscures the fact that is usually always plain, traditional data that is managed or somehow processed on second looks. The extremely relevant distinction between data and derived values can be seen in the information ladder. While data can exist as such, 'information' and 'knowledge' are always in the "eye" (or rather the brain) of the beholder and can only be measured in relative units.

See also

• Information architecture
• Enterprise architecture
• Information design
• Information system
• Optimization (Infrastructure & Application Platform)

External links

• DAMA International - The Data Management Association
• Oceanographic and atmospheric data management and on-line data access
• Agile Methods and Techniques for Data Practitioners
• Data Management best practices and research
• The Impact of Regulatory Compliance on Data Management

Information Resource Managers Association - Steps in Building the EDM roadmap

• EDM Roadmap Development

Building and Integrating a Data Management Maturity Model Into the Roadmap - Information Resource Managers Association

• EDM Maturity Model Integration