Administrative Supplements Available to Support Collaborations to Improve the AI/ML-Readiness of NIH-Supported Data

The National Institutes of Health’s (NIH) Office of Data Science Strategy recently announced a Notice of Special Interest (NOSI) for administrative supplements to support collaborations that bring together expertise in biomedicine, data management, and artificial intelligence and machine learning (AI/ML) to make NIH-supported data useful and usable for AI/ML analytics (NOT-OD-21-094). Applications to this opportunity are due May 26, 2021.

Background

AI/ML are a collection of data-driven technologies with the potential to significantly advance biomedical research. NIH makes a wealth of biomedical data available and reusable to research communities however, not all of these data are able to be used efficiently and effectively by AI/ML applications. The goal of this NOSI is to make the data generated through NIH-funded research AI/ML-ready and shared through repositories, knowledgebases or other data sharing resources.

Some aspects of AI/ML-readiness are better understood than others. For example, AI/ML tools, such as PyTorch and TensorFlow, which are used to build and deploy AI/ML applications, both require specific data formats. Important biomedical AI/ML applications often require data from different sources to be combined, so making data FAIR through the use of data and metadata standards (ontologies, taxonomies, terminologies) is a foundational component of AI/ML-readiness.

This opportunity is intended to support collaborations that bring together expertise in biomedicine, data management, and AI/ML to improve the AI/ML-readiness of data generated from NIH-funded research and shared through repositories, knowledgebases or other data sharing resources.

Learn more by reading the full NOSI (NOT-OD-21-094). Questions about this opportunity may be sent to [email protected].

FAQs