Protecting the Privacy of Personal Information in Integrated Data Systems: Disclosure Avoidance Methods
Description
Integrated Data Systems (IDSs) link individual-level data from multiple agencies, such as schools, juvenile justice agencies, and human services agencies, often with a focus on children. The systems can be used for a variety of purposes, including case management or program monitoring and evaluation. By linking data across public agencies, redundant data collection can be minimized, while the ability to utilize the information to improve programs and services for the community is maximized.
In this paper, we refer to disclosure as encompassing any of the following:
- Identity disclosure: when a subject’s identity can be identified in a data record containing confidential information
- Attribute disclosure: when a sensitive attribute of a subject’s identity is revealed from a data release
- Inferential disclosure: when released data make it more likely that the consumer of the data release can identify or determine an attribute of a subject in the data
About the Data Integration Support Center (DISC)
The newly launched Data Integration Support Center at WestEd provides privacy, policy, and legal assistance to support public agencies in navigating the complexities of state and federal privacy and security regulations for integrated data systems through flexible, adaptable, and easily accessible resources, diverse media, expert guidance, and technical assistance.
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Resource Details
Product Information
Copyright: 2023Format: PDF
Pages: 7
Publisher: WestEd
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