The National Library of Medicine (NLM) is seeking applications for funding through the "Computational Approaches to Curation at Scale for Biomedical Research Assets" opportunity (FON: PAR-25-131). The goal is to enhance access to secure, complete biomedical datasets and models, crucial for data mining and knowledge discovery. The initiative emphasizes developing innovative computational methodologies to automate curation processes, thereby addressing the growing need for curated, FAIR (Findable, Accessible, Interoperable, Reusable) biomedical data. Key expectations include creating durable, scalable products that improve data management and accessibility and support reproducible research. Eligible applicants include higher education institutions, nonprofits, and government entities, with a project budget limited to $250,000 annually for a maximum of four years. Applications are due by 5:00 PM local time, with the first submission window opening on December 27, 2024. Emphasis is placed on providing clear descriptions of proposed methodologies, data provenance, use cases, and plans for accuracy and ethical considerations. Non-responsive projects focused on manual curation or non-biomedical data will not be considered. This funding opportunity aligns with the NLM Strategic Plan to foster open science practices and enhance biomedical research.