SOLICITATION NOTICE
A -- ARPA-H BIOMEDICAL DATA FABRIC (BDF) TOOLBOX
- Notice Date
- 9/29/2023 3:54:38 PM
- Notice Type
- Presolicitation
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- NIH ADVANCED RESEARCH PROJECTS AGENCY FOR HEALTH (ARPA-H) Bethesda MD 208920004 USA
- ZIP Code
- 208920004
- Solicitation Number
- ARPA-H-MAI-24-01
- Archive Date
- 10/28/2023
- Point of Contact
- MAI Coordinator, ARPA-H BDF Toolbox Team
- E-Mail Address
-
MAIQuestions@arpa-h.gov, BDFToolbox@arpa-h.gov
(MAIQuestions@arpa-h.gov, BDFToolbox@arpa-h.gov)
- Description
- DRAFT 2 ARPA-H BDF TOOLBOX MODULE ANNOUNCEMENT AND MASTER INSTRUCTIONS ANNOUNCEMENT 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.
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/c9464a64cddf4566aaa0f1f7b4edfbba/view)
- Place of Performance
- Address: USA
- Country: USA
- Country: USA
- Record
- SN06849771-F 20231001/230929231049 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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