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Data ownership is a crucial concept in data management that defines responsibilities in handling data. It is central to crafting data security policies.
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Data ownership assigns accountability for a dataset’s purpose, quality, access, and protection.
The approach grew from information security, privacy, and decentralized data management. Governance references such as DAMA-DMBOK distinguish accountable business ownership from operational stewardship and turn ownership metaphors into explicit responsibilities.
A dataset is like a building with an operator: the operator decides how it may be used, while caretakers handle upkeep and repairs.
The duty to stand behind decisions and outcomes.
Operational work that preserves quality and usability.
Permission to use a data asset under defined rules.
Clear accountability speeds decisions and makes quality issues actionable. It does not grant property rights over personal data or replace a privacy assessment.
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