Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)

The U.S. National Science Foundation is seeking proposals to advance scientific community datasets and enable scientific discovery and innovation using artificial intelligence (AI) and other methods. The goal of this program is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and AI. This will unlock new AI-driven insights, enable interdisciplinary research, and allow for investigations outside of the original motivation for data collection and analysis. Proposals should address dataset security and integrity, governance, and the process for scientific communities to contribute to the datasets. Proposers are encouraged to leverage existing resources, such as NSF data platforms, the NSF Integrated Data Systems and Services program, and the NSF-led National AI Research Resource. Key aspects of this opportunity include: • Applying AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets • Developing robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems • Augmenting and/or harmonizing existing datasets to better enable use by AI data pipelines and automated analysis • Addressing dataset security and integrity, governance, and the process for scientific communities to contribute to the datasets