Augmenting datasets using de-identified data

A method, in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to utilize a dataset for supporting a research study, the method comprising:

• representing within a model data records of a first dataset, wherein the data records of the first dataset are authorized for the research study by associated entities;
• representing within the model data records from a second dataset, wherein the data records from the second dataset are relevant for supporting objectives of the research study, correspond to entities other than those associated with the first dataset, and used after de-identification according to specified de-identification requirements;
• identifying one or more regions of interestingness in the model for supporting the research study, wherein a selected region of interestingness includes data records from the first and second datasets;
• and
• de-identifying the data records of the second dataset within selected regions of interestingness according to the specified de-identification requirements.