Explanation/Reference: https://www2.ed.gov/policy/gen/guid/fpco/ferpa/index.html

Data aggregation involves combining data from multiple sources to create a comprehensive dataset. One of the main benefits of data aggregation is that it can help achieve de-identification and unlinkability. By aggregating data, individual data points are merged into broader categories or summaries, reducing the risk that specific individuals can be identified from the dataset. This is particularly useful in privacy contexts where protecting individual identities is paramount. Aggregated data can provide valuable insights while maintaining privacy and security standards.

The Privacy by Design principle that requires architects and operators to emphasize the interests of the individual by offering measures such as strong privacy defaults, appropriate notice, and user-friendly options is "Respect for user privacy." This principle ensures that user-centric privacy measures are embedded into the design and operation of systems.