A planned part of a facility architecture and is usually associated with other disaster planning and data center disaster-recovery considerations such as data protection. 

A collective term for the supporting components necessary for the proper operation of a repository for storage, management and dissemination of data organized around a body of knowledge or pertaining to an enterprise.

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The categorization of data for effective and efficient use. Data can be classified according to its critical value or frequency of use, with the most critical or often-used data stored on the fastest media while others stored on slower media.

Data cleansing, data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant, etc. parts of the data and then replacing, modifying, or deleting this dirty data or coarse data.

The process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated. An organization in a data-intensive field might use a data scrubbing tool to systematically examine data for flaws.

Data collection is the process of gathering data relevant to the business or project or survey.

In network computing, DCE is an industry-standard software technology for setting up and managing computing and data exchange in a system of distributed computers. 

The deterioration of computer data as a result of some external agent. Hazards to data integrity include not only computer-based problems, but also environmental threats such as power outages, dust, water, and extreme temperatures. 

The management of data throughout its lifecycle, from creation and initial storage to the time when it is archived for posterity or becomes obsolete and is deleted, to ensure that data is reliably retrievable for future research purposes or reuse. 

A method of reducing storage needs by eliminating redundant data. Only one unique instance of the data is actually retained on storage media, such as disk or tape. Redundant data is replaced with a pointer to the unique data copy. 

A standard for commands that define the different structures in a database. DDL statements create, modify, and remove database objects such as tables, indexes, and users. Common DDL statements are CREATE, ALTER, and DROP.

A collection of descriptions of the data objects or items in a data model for the benefit of programmers and others who need to refer to them.