Description: A governance framework for data lifecycle management is a structured set of policies, procedures, and standards that oversee and regulate the creation, storage, use, and disposal of data throughout its lifecycle. This framework aims to ensure that data is managed efficiently and securely, aligning with legal regulations and industry best practices. Data governance involves defining roles and responsibilities, as well as implementing controls to ensure data quality, integrity, and availability. Additionally, this framework promotes transparency and accountability in information handling, which is crucial in an environment where data is a strategic asset. The importance of a governance framework lies in its ability to mitigate risks associated with data management, such as security breaches, data loss, and regulatory compliance. In an increasingly data-driven world, having a robust governance framework is essential for organizations looking to maximize the value of their data assets while protecting individual privacy and rights.
