Hugging Face and a coalition of universities, research groups and open science organizations have launched Project ProtoStar, an initiative to make publicly funded datasets, models and code easier to find, reuse and build on, particularly for AI-driven research. Founding partners include Carnegie Mellon University, Purdue University, Georgia Institute of Technology, Arizona State University and The George Washington University, which work through the Open Forum for AI. The Astera Institute, Hugging Face as infrastructure partner, and the Open Research Community Accelerator as community partner are also involved. Participating organizations will formalize their involvement through a memorandum of understanding to release suitable scientific artifacts in AI-ready, machine-actionable formats on open infrastructure. The first open challenge, hosted by Carnegie Mellon, opens on November 2. The initiative targets a gap between public access and practical use. The U.S. federal government spends about $190 billion a year on research and development, and agencies such as the National Institutes of Health and the National Science Foundation have strengthened public-access requirements. Publicly available research, however, is often scattered across incompatible systems, stored in legacy formats, or released without the documentation, metadata and provenance needed to reuse it. Hugging Face says it hosts more than 17,000 public scientific datasets across fields including genomics, protein design, chemistry, weather and climate, Earth observation and astronomy, rising to nearly 29,000 when medicine and mathematics are included. Researchers shared more than three times as many new science datasets in the first nine months of 2026 as in the same period of 2025. The company also reports that 90% of dataset downloads are from fully documented datasets. Early activity is also cited as evidence of demand. As of October 26, 2026, the 18 repositories maintained by the National Center for Biotechnology Information on Hugging Face had received more than 11 million downloads, and NASA IMPACT's 27 repositories had received about 770,000. Carnegie Mellon's Open Source Programs Office is encouraging its researchers to share suitable datasets and models on Hugging Face, while still recognizing the value of domain-specific repositories. The announcement describes institutional commitments and a coordination framework rather than new regulatory requirements. For Australian businesses and professionals, the practical impact is limited for now. ProtoStar centers on U.S. publicly funded research and U.S.-based partners, so most Australian businesses will see no change. Australian researchers, universities and research-linked companies that reuse public scientific datasets may find well-documented, machine-readable releases easier to work with, but they should check licence terms before use. Anyone publishing or reusing datasets that contain personal information should still consider their obligations under the Privacy Act 1988 (Cth). The main practical cost would be the effort of preparing documentation and metadata, which is worth considering only if an organization publishes research data.