Data Protection refers to techniques to either prevent, or recover from data loss situations. Data protection techniques can be proactive – engaging continuous copy systems, performing snapshots, replication, and backups. They can also be reactive – recovering data, performing log replays, and rolling back snapshots, etc.

Data protection can also mean security, and of course security is important as well when we consider holistic care of data. Good security processes will also help to prevent data loss situations, though in the security context, data loss might mean data theft as much as corruption or deletion.

More recently, data protection is taking on a new meaning – data privacy. In that context, data protection doesn't necessarily refer to data loss, or data theft, but data ownership. Data protection as a privacy function refers to the rights of an individual to assert ownership and control over data about her or himself.

Here at the Data Protection Hub, data protection means all of the above. While there will remain a strong emphasis on data storage protection, data protection as it applies to privacy and security will also be covered where possible.

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