The National Data Platform (NDP) bridges the data gaps for AI by offering an online ecosystem of data services. NDP works with researchers, educators, and students to discover, access, and use AI-ready data, execute AI workflows, and deploy distributed AI services. The platform promotes collaboration and innovation, enhancing existing research computing investments and facilitating scientific and AI advancements. Being built with broad community input, NDP enables researchers to seamlessly create and integrate data analysis and AI into their work, empowers educators to discover and create AI educational resources, and provides students with engaging data projects to learn AI skills. NDP provides open access to comprehensive datasets and advanced analytics tools, particularly benefiting communities that may not otherwise participate widely in AI. It aims to overcome data fragmentation and the lack of unified platforms, which hinder AI innovation. Through interconnected data services, standardized protocols, and robust governance, NDP is being built to streamline data access and analysis, empowering users to make informed decisions, drive innovation, and address societal challenges.
The Wildfire Science & Technology Commons (WSTC) will be a central hub for data, models, computing resources, and expertise to enable wildland fire researchers to collaborate with each other and practitioners to move quickly from theoretical ideas and experimental workflows to impactful, scalable real-world solutions. It will advance firetech by quickly moving research workflows into production through a community of practice, data standards and innovation pathways centered around open data, cutting-edge science and AI.
The California Wildfire and Landscape Resilience Data Hub is a federated data ecosystem for California’s Wildfire and Landscape Resilience Task Force, providing a “single view” over existing data to fulfill the reporting requirements for California’s Million Acre Strategy to treat 1 million forested acres per year to reduce wildfire risk. The Data Hub will initially integrate the data and products of Task Force-supported projects, starting with the California Landscape Metrics (CLMs) and the Interagency Treatment Dashboard (ITS). It will provide public, open, and fair access to data, analytical tools, and customizable reports via the web viewer, as well as access to data through APIs.
SCIL has contributed data management and cyberinfrastructure expertise towards the development of the Quantum Foundry's Quantum Data Hub (QDH), to manage and amplify the value of the scientific data collected by the Quantum Foundry. The data the QDH collects and curates include experimental and theoretical data, e.g., physical objects, characterization data, and material parameters. The data are collected and served through RESTful APIs, making them available to many processing modules. We make the data more searchable and queryable using advanced cyberinfrastructure tools, and enable data cleaning with the QDH to provide users with easy access to high-quality data.
