Demonstration Projects

The NSDS Demonstration Project and America's DataHub Consortium

Many of the National Secure Data Service (NSDS) Demonstration project activities are being implemented and tested through the America’s DataHub Consortium (ADC). In 2021, NCSES established the ADC as a public-private partnership to advance the goals of the Evidence Act and address key research questions through innovative solutions in a rapid and streamlined acquisitions process. Areas of focus include data linkage, privacy-preserving technologies, and other solutions to support secure and effective data use. Through this partnership, NCSES has overseen nearly 40 demonstration projects to help inform the development of the NSDS. These efforts include environmental scans, the development of toolkits and prototypes, and foundational infrastructure such as the Secure Compute Environment. Approximately 60 percent of these projects are now complete, providing valuable insights to guide NSDS requirements and implementation. For more information about the ADC, please refer to the ADC website.

NSDS Demonstration Projects

A list of NSDS demonstration projects is below. For more information about each project, please visit the ADC website.

A Network Scale-Up and Ad-Tech Approach Examining Workforce Participation and International Mobility in the FBSE Population

AI-Ready Data Products to Facilitate Discovery and Use

Artificial Intelligence for Enhancing Data Quality, Standardization, and Integration

Building an Evidence-Based Foundation to Understand Foreign-Born Scientists and Engineers’ Participation in the US Workforce

Building Capacity for State, Local, and Territorial Governments to Use Administrative Data for Evidence-Building

Clarivate and Stepping Blocks Proposal to Request for Solutions (RFS) Foreign Born Scientists and Engineers and the U.S. Workforce

Creating a New Data Infrastructure for Foreign-Born Scientist and Engineers: Data, Analysis and Use

Creating and Validating Synthetic Data (NCSES/Census, Annual Business Survey)

Creation of Synthetic Data and Development and Use of Verification Metrics (Survey of Earned Doctorates)

Data Access Alternatives: Artificial Intelligence Supported Interfaces

Data Integration to Estimate Science, Technology, Engineering and Mathematics (STEM) Attrition and Workforce Supply: A Pilot Approach Solution

Data Protection Toolkit Use Case Analysis

Engaging Policy Stakeholders to Inform a Future National Secure Data Service

Evaluation of Noise Infusion for Large-Scale Demographic Sample Survey (Survey of Doctorate Recipients)

Expanding Equitable Access to Restricted-Use Data Through Federal Statistical Research Data Centers

Federated Data Usage Platform (Two Projects)

Fraud in Public Healthcare Programs: Developing Fraud Detection Models with Linked Data

Informing Evidence Building Capacity Among State, Local, Territorial, and Tribal Governments within a National Secure Data Service

Informing Next-generation Federal Statistics

Investigating Science, Technology, Engineering and Mathematics Retention Intervention Strategies in Education for All

Linking State and Federal Data to Strengthen Federal Program Evaluation

Measuring Large Language Model Understanding of Federal Statistical Data

Modeling the Criminal Case Process with State and Local Data

Models for a Data Concierge Service for a National Secure Data Service

National Vital Statistics System Modernization - New Opportunities for Interoperable Data

Opportunity #1 Foreign-Born Scientists and Engineers and the U.S. Workforce

Privacy Preserving Technologies Phase 1: Environmental Scan

Providing Customer Service for a National Secure Data Service Through a Data Concierge

Secure Compute Environment Scan

Secure Compute Environment Testbed for a National Secure Data Service

Secure Multiparty Computation: A Case Study

Synthetic Data Generation with Large, Real-Word Data

The Federal Data Usage Platform (DUP): a Shared Federal Asset

Utilizing Privacy Preserving Record Linkage to Link Data from Two Federal Statistical Agencies

Utilizing Privacy Preserving Record Linkage with Parent Agency Data and Statistical Agency to Inform Programs and Policies

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