Abstract: A data anonymization pipeline system for managing holding and pooling data is disclosed. The data anonymization pipeline system transforms personal data at a source and then stores the transformed data in a safe environment. Furthermore, a re-identification risk assessment is performed before providing access to a user to fetch the de-identified data for secondary purposes.

Abstract: A data anonymization pipeline system for managing holding and pooling data is disclosed. The data anonymization pipeline system transforms personal data at a source and then stores the transformed data in a safe environment. Furthermore, a re-identification risk assessment is performed before providing access to a user to fetch the de-identified data for secondary purposes.

Abstract: A method includes collecting one or more datasets of information. The method also includes separating the one or more datasets into respective blocks of data. The method further includes determining whether the information within the blocks of data are consistent, or if one or more violations occur within the blocks of data. In addition, the method includes applying a first noise function based on the determination that the information within the blocks of data are consistent, wherein the first noise function is applied when a loss of privacy and/or confidentiality exceeds a threshold. The method also includes displaying the blocks of data with the first noise function.

Abstract: A data anonymization pipeline system for managing holding and pooling data is disclosed. The data anonymization pipeline system transforms personal data at a source and then stores the transformed data in a safe environment. Furthermore, a re-identification risk assessment is performed before providing access to a user to fetch the de-identified data for secondary purposes.