What type of safeguard could be implemented in future studies to mitigate the risk of data theft?

Implementing safeguards for sensitive data is a critical step in protecting against data theft. Limiting access to sensitive data is an effective strategy because it ensures that only authorized personnel can view or handle the information, thereby reducing the potential for accidental exposure or intentional theft. This approach follows the principle of least privilege, which dictates that users should only have access to the data necessary for their role.

By restricting access to sensitive data, organizations can better monitor who interacts with the information while also minimizing the number of potential threats. This can involve defining roles and responsibilities clearly, using authentication measures, and regularly reviewing access permissions. Such practices not only protect the data but also create a more secure data environment overall.

The other options do not provide effective safeguards against data theft. For example, using public Wi-Fi can expose data transmissions to interception. Storing data on unprotected devices increases vulnerability, and encouraging team members to take research files home raises the risk of loss or unauthorized access. Hence, limiting access is a fundamental and proactive measure to mitigate these risks.