Safely expanding data access
The Urban Institute’s body of work on safely expanding access to confidential data advances evidence-based policy making by creating new ways for researchers to use administrative data while protecting privacy. This work is at the intersection of data privacy and public policy, using state-of-the-art tools such as synthetic data and validation servers to provide better data access.

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    The Statistics of Income (SOI) Division of the Internal Revenue Service collects and curates an enormously valuable trove of tax data, which researchers can use to assess the effects of tax policies and pursue other research questions, such as studying income inequality.





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    About

    With an increasingly connected and surveilled world, high-quality datasets can be more easily constructed but also more vulnerable to abuse than ever. Although collecting more and better data can provide great benefits to society, such as furthering medical research or targeting public investments to help those most in need, data privacy concerns surface when that information can be de-anonymized and used maliciously. 

    The Privacy Research Lab (PRL) at the Urban Institute is working to develop and promote data collection and analysis methods that expand access to confidential data while keeping it just that: confidential. We have partnered with local and federal government agencies and other organizations to apply new data privacy and confidentiality methods so researchers and policymakers can use data to society’s benefit while protecting privacy.

    Through PRL, we advance evidence-based public policy decisionmaking under these four areas:

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