New & Noteworthy
A flagship initiative of the Federal statistical system, the NSDS will offer AI-powered shared services to address existing data silos and streamline access to public and confidential data.
Powered by innovative AI tools, the NSDS Navigator provides a single customer service model that offers subject matter support, statistical estimates, federal data
usage insights, and general information and navigational assistance. To support AI-enabled discovery, the Navigator also includes tools for improving the discoverability and usability of public web products for use by LLMs and other AI technology.
The Data Harmonizer Toolkit brings together five tools, four of which are AI-enabled, that assist with the formatting, standardization, documentation, and integration of data to increase efficiency in data processing tasks. The toolkit helps reduce manual effort across common data preparation workflows, supporting more consistent, usable, and analysis-ready data-sets.
Improving Data Access
We are excited to announce the release of the final report for the Creation of Synthetic Data and Development and Use of Verification Metrics (Survey of Earned Doctorates) Pilot Project. This comprehensive report explores innovative approaches to expand data access while maintaining privacy protections, using the Survey of Earned Doctorates (SED) data as a case study. The report outlines the methodology and assessments used to balance utility and privacy when creating the synthetic data.
The findings from this project contribute valuable insights to inform the future National Secure Data Service (NSDS) and support evidence-based policymaking, research, and education.
Explore the report to learn more about the methodology, results, and considerations for future data dissemination strategies.
The tools and methodologies developed during the SEDSyn-23 Pilot Project are available in a publicly accessible GitHub repository. Researchers and developers can access the codebase to explore, replicate, and build upon the work. Dive into the repository to review the open-source tools and contribute to advancing synthetic data solutions.
Interested in this project and others like it? Explore our full ADC project page here.
