Computational Approaches to Curation at Scale for Biomedical Research Assets
Funds computational methods that curate biomedical data at scale, so datasets and models become usable faster than hand-curation allows.
Biomedical data is produced far faster than anyone can clean, label and connect it. Curation is the bottleneck, and it is still largely done by hand. The National Library of Medicine funds the attempt to automate it.
What the library wants is faster access to secure, complete datasets and computational models that can serve as the basis for biomedical discovery. Complete is the operative word — a…
Innovative at-scale computational approaches that increase the speed and scope of curation processes for biomedical research assets, producing secure and complete datasets and computational models to support data mining and knowledge discovery. Clinical trials are not allowed.
Sign up free to see the funding breakdown
Sign up free to see the industries in scope
Sign up free to see the full eligibility
Sign up free to see how to apply
Sign up free to see what you submit
Sign up free to see how they score you
Sign up free to see the timeline
Sign up free to see where teams trip up