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What are limited data sets?

In Statistics, we have different types of data sets available for different types of information. They are: Numerical data sets. Bivariate data sets.

What is a de-identified dataset?

Data de-identification is a form of dynamic data masking that refers to breaking the link between data and the individual with whom the data is initially associated. Essentially, this requires removing or transforming personal identifiers.

What is the difference between de-identified and limited data set?

In contrast to de-identified protected health information, which is no longer classed as PHI under HIPAA Rules, a limited data set under HIPAA is still identifiable protected information and is still subject to HIPAA Privacy Rule regulations.

What is the difference between anonymous and de-identified data?

Data are considered de-identified when any direct or indirect identifiers or codes linking the data to the individual subjects identify are destroyed or there is no potential for deductive disclosure. De-identification can occur by removing the code from the dataset or destroying the linkage file.