Additional Resources

In this Effective Policy Learning piece, the author describes how the Democratizing Data Search and Discovery Platform is making great strides in helping meet the mandates of the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act) and demonstrating the value of federal data.

Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field.

This article describes how data science techniques—machine learning and natural language processing—can be used to open the black box of government data. It then describes how an incentive structure can be established using human–computer interaction techniques.

This ground-breaking book explores how automating the search for and discovery of datasets can help tackle irreproducibility in social science.

The Show US the Data podcast series is a series of six five-minute podcasts, discussing a variety of data sets from agencies that participated in the Show US the Data pilot study.

This paper presents a comprehensive framework for intelligent data discovery and delivery to democratize access to large-scale scientific facility data using machine learning and content delivery network technologies.

The NAIRR represents a vision for a shared national research infrastructure for responsible discovery and innovation in AI, aiming to democratize access to AI resources and tools for the broad research and education communities.

This comprehensive report from the NAIRR Task Force presents the final recommendations for implementing a National Artificial Intelligence Research Resource with a phased approach for establishing shared national cyberinfrastructure.

This paper introduces the National Data Platform (NDP), a project aimed at catalyzing an open, equitable and extensible data ecosystem for scientific research, designed to bridge data gaps for AI.

In this Harvard Data Science Review editorial, Meng explores the concept of data democratization from an ecosystemic perspective, drawing parallels between democratic governance and data ecosystem management.

This article explores the critical importance of democratizing AI research and development to achieve responsible AI outcomes, introducing the National Data Platform as a solution for catalyzing an open, equitable, and extensible data ecosystem.

This NSF EAGER project demonstrates the integration of democratizing data services into the National Data Platform as part of the NAIRR pilot initiative, bridging data gaps for AI by offering an online data ecosystem.

Make Data Count is a comprehensive initiative that promotes open data metrics to enable the evaluation and reward of research data reuse and impact, providing tools and frameworks for making responsible data metrics a reality.