What is data life cycle?
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The data lifecycle refers to how data is generated, processed, reported, checked, used for decision-making, stored and finally discarded at the end of the retention period. Data relating to a product or process may cross various boundaries within the lifecycle. This may include data transfer between paper-based and computerised systems, or between different organisational boundaries; both internal (e.g. between production, QC and QA) and external (e.g. between service providers or contract givers and acceptors).
All phases of the process by which data are created, recorded, processed, reviewed, analyzed and reported, transferred, stored and retrieved and monitored, until retirement and disposal.
There should be a planned approach to assessing, monitoring, and managing the data and the risks to those data, in a manner commensurate with the potential impact on patient safety, product quality, and/or the reliability of the decisions made throughout all phases of the data life cycle