Data can be made anonymous by which of the following actions?

Data can be effectively made anonymous through the destruction of all identifiers connected to the data. This process ensures that no personal information can be linked back to an individual, making it impossible to identify subjects from the dataset. Anonymization is a crucial aspect of data management and privacy, particularly in research involving human subjects, as it helps to safeguard participants' identities and respects their confidentiality.

Once identifiers such as names, addresses, or any unique identifiers are removed, the remaining data can be used without the risk of compromising personal privacy. This is essential in maintaining ethical standards in research and adhering to regulations concerning personal data protection. The clarity of this practice underscores the importance of managing data responsibly and highlights the measures researchers must take to protect participant identities.