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Data definition specification
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Data definition specification : ウィキペディア英語版
Data definition specification

In computing, a data definition specification (DDS) is a guideline to ensure comprehensive and consistent data definition. It represents the attributes required to quantify data definition. A comprehensive data definition specification encompasses enterprise data, the hierarchy of data management, prescribed guidance enforcement and criteria to determine compliance.
==Overview==
A data definition specification may be developed for any organization or specialized field, improving the quality of its products through consistency and transparency. It eliminates redundancy (since all contributing areas are referencing the same specification) and provides standardization, making it easier and more efficient to create, modify, verify, analyze and share information across the enterprise.〔Gouin, Deborah. & Corcoran, Charmane K. (2008). Developing the MSU Enterprise Data Definition Standard. Michigan State University Web site: http://eis.msu.edu/uploads/---University%20EIS%20Working%20Committee%20Meetings/05%20August%202008/Enterprise%20Data%20Definition%20Standard%20Presentation082708.pdf〕

To understand how a data definition specification works in an enterprise, we must look at the elements of a DDS. Writing data definitions, defining business terms (or rules) in the context of a particular environment, provides structure for an organization’s data architecture. In developing these definitions, the words used must be traceable to clearly defined data.
A data definition specification may be used in the following activities to provide consistency and clarity between departments supporting the activity:〔Thomas, Gwen. (2008). Writing Enterprise-Quality Data Definitions: Tips for Creating Terms and Definitions. Data Governance Institute Web site: http://www.datagovernance.com/dgi_wp_writing_enterprise-quality_data_definitions.pdf〕
* Business intelligence
* Business process modeling
* Business rules management
* Data analysis and modeling
* Information architecture
* Metadata modeling
* Report generation

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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