Inactive

Amendment 2 (September 20,2024): The purpose of this Amendment is to extend the Master Announcement Instructions (MAI) Closing Date from October 20, 2024 until December 31, 2024. All changes are highl... Amendment 2 (September 20,2024): The purpose of this Amendment is to extend the Master Announcement Instructions (MAI) Closing Date from October 20, 2024 until December 31, 2024. All changes are highlighted in yellow. Please see Amendment 2 attachment below for further details. Amendment 1 (June 25, 2024): The purpose of this Amendment 1 is to: 1) make administrative updates to Section 1.1, 1.2, 2.1.2, 3.1, 3.2 and 5.2.6; 2) replace Section 2.1.1 with new language pertaining to Federally Funded Research and Development Centers (FFRDCs) and Government Entities. Additionally, Section 4.2, Evaluation Criteria #2 is updated to remove the reference to Government Entities (removal is not highlighted in yellow); 3) change references from Abstract to Solution Summaries (intent behind the document is unchanged); 4) update proposal submission instructions in Section 3.2; and 5) update Section 5.1 to remove the Stage 2 Notification Letter. All changes are highlighted in yellow. Please see Amendment 1 attachment below for further details. Also, please note that the title of this opportunity has bee revised to eliminate confusion. The opportunity should have been titled, "Master Announcement Instruction (MAI)" instead of "ARPA-H BDF Tool Box". The Master Announcement Instructions (MAI) is a new ARPA-H announcement that aims to create standard tiered proposal submission requirements, so the amount of work required to write a proposal is commensurate with the size of the proposed effort. It also aims to reduce the up-front work required to submit cost information to reduce the barrier to entry for non-traditional performers. Module announcements that link to this MAI will provide more specific instructions about how the proposal requirements vary across tiers of effort. All responsible sources capable of satisfying the Government’s needs may submit a proposal to a Module Announcement. Specifically, universities, non-profit organizations, small businesses and other than small businesses are eligible and encouraged to propose to Module Announcements. NOTE: Proposals shall NOT be submitted against the MAI. Proposals shall only be submitted against a Module Announcement.

Inactive

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 Fab... 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.