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Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
Records management, also known as records and information management, is an organizational function devoted to the management of information in an organization throughout its life cycle, from the time of creation or receipt to its eventual disposition.
Data defined storage explains information about metadata with an emphasis on the content, meaning and value of information over the media, type and location of data. Data-centric management enables organizations to adopt a single, unified approach to managing data across large, distributed locations, which includes the use of content and metadata indexing.
Data can be put in a location/area of a storage mechanism. The fundamental feature of a storage location is that its content is both readable and updatable. Before a storage location can be read or updated it needs to be created; that is allocated and initialized with content.
ILM policy consists of the overarching storage and information policies that drive management processes. Policies are dictated by business goals and drivers. Therefore, policies tie into a framework of overall IT governance and management; change control processes; requirements for system availability and recovery times; and service level agreements (SLAs).
The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...
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