What is the primary feature of OpenPDS developed by MIT?

OpenPDS, developed by MIT, is primarily designed to enhance user privacy by allowing users to keep their personal data while still enabling useful data analysis. The key feature of OpenPDS is its capability to execute code and evaluate queries without directly disclosing the underlying user data. This means that rather than sending raw data to third parties or external entities, the system processes queries in a way that maintains the confidentiality of the individual’s information. By restricting access to the actual data and providing computed results instead, OpenPDS significantly mitigates privacy risks associated with data sharing and enhances user control over personal data.

The other options do not align with the fundamental goals of OpenPDS. Storing data on a centralized server undermines the privacy that OpenPDS aims to protect. Allowing third parties direct access to user data would contradict its focus on privacy and user control. Lastly, describing OpenPDS as a cloud storage service for social media does not accurately reflect its purpose or functionalities. Instead, it emphasizes an innovative approach to data privacy and user empowerment.