Augmenting datasets with selected de-identified data records

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:

• determining one or more regions of interestingness within a model of 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 are authorized for the research study by associated entities after transformation to satisfy de-identification requirements;
• removing data records of the second dataset from the one or more regions of interestingness based on those records failing to satisfy the de-identification requirements;
• generating a resulting dataset for the research study including the data records of the first dataset within a selected region of interestingness and selected data records of the second dataset within the selected region of interestingness;
• and
• de-identifying the data records of the second dataset within the resulting dataset based on the de-identification requirements.