Augmenting datasets with selected de-identified data records

A computer system for utilizing a dataset for supporting a research study, the computer system comprising:

• one or more computer processors;
• one or more computer readable storage media;
• program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising instructions to:
• determine 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;
• represent 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;
• remove 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;
• generate 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-identify the data records of the second dataset within the resulting dataset based on the de-identification requirements.

A computer program product for utilizing a dataset for supporting a research study, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:

• determine 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;
• represent 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;
• remove 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;
• generate 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-identify the data records of the second dataset within the resulting dataset based on the de-identification requirements.