Data management: Difference between revisions
m -sp |
|||
Line 97: | Line 97: | ||
* [http://www.dmreview.com/ Data Management best practices and research] |
* [http://www.dmreview.com/ Data Management best practices and research] |
||
* [http://www.neonesoft.com/doc/pres/Compliance.pdf The Impact of Regulatory Compliance on Data Management] |
* [http://www.neonesoft.com/doc/pres/Compliance.pdf The Impact of Regulatory Compliance on Data Management] |
||
* [http://www.irmac.ca The Information Resource Managers Association - Sister Organization of Dama] |
|||
Information Resource Managers Association - Steps in Building the EDM roadmap |
|||
*[http://www.firstspike.com/EDM_Roadmap_Development/ EDM Roadmap Development] |
|||
Building and Integrating a Data Management Maturity Model Into the Roadmap - Information Resource Managers Association |
|||
*[http://www.firstspike.com/EDM_Maturity_Model/index.htm EDM Maturity Model Integration] |
|||
==Notes== |
==Notes== |
Revision as of 21:44, 13 April 2009
Data management comprises all the disciplines related to managing data as a valuable resource.
Overview
The official definition provided by DAMA or 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."[1]
Topics in Data Management
Topics in Data Management, grouped by the DAMA DMBOK Framework[2], include:
|
|
Body Of Knowledge
The DAMA Guide to the Data Management Body of Knowledge" (DAMA-DMBOK Guide), under the guidance of a new DAMA-DMBOK Editorial Board. This publication is available from April 5th, 2009.
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
- The Information Resource Managers Association - Sister Organization of Dama
Information Resource Managers Association - Steps in Building the EDM roadmap
Building and Integrating a Data Management Maturity Model Into the Roadmap - Information Resource Managers Association
Notes
- ^ http://www.dama.org/files/public/DI_DAMA_DMBOK_Guide_Presentation_2007.pdf "DAMA-DMBOK Guide (Data Management Body of Knowledge) Introduction & Project Status"
- ^ http://www.dama.org/i4a/pages/index.cfm?pageid=3364 "DAMA-DMBOK Functional Framework"