Data are considered anonymous when:

Data are considered anonymous when all identifiers connected to the data have been destroyed. This definition emphasizes that anonymity is achieved when there is no way to trace the data back to the individual it pertains to. When identifiers such as names, social security numbers, or any other personal information that can link the data to a specific person are removed, the risk of identifying individuals from the dataset is eliminated.

The removal of all identifiers ensures that even if the data were to be shared or released, it would not be possible to re-identify individuals from the information provided. This is fundamental in research ethics, particularly for studies involving sensitive populations, as it protects participant privacy and adheres to ethical research standards.

In contrast, retaining personal identifiers or providing data with some form of consent does not meet the criteria for anonymity. Anonymity directly relates to the lack of any identifiers that could lead to an individual's identification, making the destruction of all identifiers essential for truly anonymous data.