The National Library of Medicine seeks applications for novel informatics and data science approaches that can accelerate the availability of and access to secure, complete data sets and computational models that can serve as the basis of transformative biomedical discoveries by improving the speed and scope of the curation processes. This Funding Opportunity Announcement is focused on automating curation of biomedical digital assets in support of Goal 1. Objective 1.1 of the NLM Strategic Plan 2017-2027: “An important research direction will develop strategies for curation at scale…". As the amount and complexity of digital assets continue to grow, manual curation will not scale to meet future needs. Digital curation involves characterizing, annotating, managing, and preserving digital assets such as research data sets, computational and other types of models, reusable visualization tools, and other digital assets. The purpose of this funding announcement is to encourage applications for new approaches that (1) increase the speed and assure quality and security of storage techniques, retrieval strategies, annotation methods, data standards, visualization tools and other advanced data management approaches and (2) improve our ability to make biomedical data and other digital research assets findable, accessible, interoperable and reusable (FAIR).
Applications may propose development of new computational methods, or extend existing open-source tools and pipelines in order to enhance automation, improve efficiency, quality and security, and control costs. The improvements over comparable existing management or curation approaches must be documented. During the project period, applicants are expected to test the approach with one or more groups of targeted users. Approaches should be applicable to more than one subject domain. All awardees are expected to disseminate widely the results of their research including software.
Support for rigorous scientific research in biomedical infomatics and data science. See also Notice of Special Interest (NOSI): Computational and Statistical Methods to Enhance Discovery from Health Data (NOT-LM-19-003).
This program expires May 08, 2024 unless reissued. Only electronic applications are accepted.
Dr. Yanli Wang, firstname.lastname@example.org.
Deadlines for New Applications: February 5, June 5 and October 5 each year, by 5:00 PM local time of applicant organization.
Deadlines for Revised Applications: March 5, July 5 and November 5 each year.
Full listing of deadlines for competing applications: www.nlm.nih.gov/ep/Deadlines.html