A sanitized and de-identified version of a dataset made available to the public, allowing researchers and analysts to access and analyze information while protecting individual privacy.
The process of removing or modifying personal information from a dataset to prevent the identification of individuals while maintaining the utility of the data for analysis.
A collection of structured information or data that is organized and stored for analysis. In the context of PUFs, datasets often pertain to research or survey results.
The act of cleansing and removing sensitive information from a dataset, ensuring that it complies with privacy regulations and safeguards.
Security measures and restrictions put in place to regulate who can access, modify, or use certain information in a dataset, ensuring data integrity and privacy
An individual or professional who uses PUFs for analysis, academic research, or statistical studies while adhering to ethical guidelines and privacy regulations.
The protection of personal information, ensuring that sensitive data is handled and processed in a way that prevents unauthorized access or disclosure.
Studies and investigations conducted using PUFs to analyze health-related trends, outcomes, and disparities within a population, while respecting privacy guidelines.
Methods and techniques employed to minimize the risk of revealing confidential information when publishing or sharing statistical data.
The responsible and ethical management of data, including its collection, storage, analysis, and sharing, with a focus on maintaining privacy and security.
Permission obtained from individuals before their data is used in research or analysis, ensuring transparency and respect for participants’ autonomy.
Legislation in the United States that mandates the protection of individuals’ health information and sets standards for the privacy and security of electronic health records.