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Data Management Life Cycle

The data management life cycle is a framework that describes the stages and activities involved in managing data assets throughout their life span, from creation or acquisition to disposal or archiving. The data management life cycle aims to ensure that the data assets are safely stored, protected, maintained, and used in accordance with the data governance policies and standards. The data management life cycle typically consists of six phases: data planning, data collection, data processing, data analysis, data dissemination, and data preservation. Each phase requires specific tools, techniques, and skills to perform the tasks and deliver the outputs. The data management life cycle is not a linear process, but rather an iterative and adaptive one, where feedback and evaluation can inform and improve the subsequent phases. The data management life cycle can also vary depending on the type, size, and complexity of the data assets, as well as the needs and requirements of the data stakeholders.