ARPA-H Biomedical Data Fabric Toolbox

Funding Agency:
National Institutes of Health

The Advanced Research Projects Agency for-Health (ARPA-H) is soliciting proposals for the ARPA-H Biomedical Data Fabric (BDF) Toolbox using a new Master Announcement Instruction solicitation strategy. For more information, please refer to the attached Master Announcement Instructions (MAI), which aim to provide proposers with the ability to scale the level of effort that they spend developing proposal materials with the magnitude of the effort that they plan to propose. The MAI introduces a tiered approach to proposal submission for small scale (BIT / BYTE), mid-scale (KILO/MEGA), and large scale (GIG/TERA) efforts. The ARPA-H BDF Toolbox solicitation described below is a Combined Module Announcement that is soliciting proposals at the BIT, BYTE, and KILO scales. This Module Announcement is issued under the Master Announcement Instructions (MAI), ARPA-H-MAI-24-01. All awards will be made in the form of an Other Transaction (OT) or Cooperative Agreement.

Specifically, ARPA-H is soliciting innovative proposals for research and development (R&D) in data integration and usability technologies. Proposed R&D should investigate innovative software approaches that enable revolutionary advances in the collection and usability of biomedical datasets that originate from thousands of different research labs, clinical care centers, and other sources of data in order to accelerate technical innovation across the health ecosystem. Specifically excluded are submissions that will primarily result in limited or only evolutionary improvements to the existing state of software capabilities to link datasets. Also excluded are approaches that artificially restrict data availability beyond what is necessary at a given level of data sensitivity.

Deadline: Nov. 28, 2023

Agency Website

Areas of Interest

• TA1 Automated Data Capture: Lowering barriers to high-fidelity, timely data collection in computer-readable forms
• TA2 AI-Assisted Curation: Preparation for multi-source data analysis at scale
• TA3 Intuitive Exploration: Advanced and intuitive data exploration
• TA4 User Testing: Evaluating data usability by community members across disciplines and biomedical literacy levels

Funding Type





Engineering and Physical Sciences
Medical - Basic Science
Medical - Clinical Science

External Deadline

November 28, 2023