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Grants / Department of Energy / Office of Science

DE-FOA-0003266: Data Reduction for Science

Closed Closed May 7, 2024 Opportunity DE-FOA-0003266

This grant is closed. A newer notice from the same program is open now: Genesis Mission Graduate Fellowship Pilot (DE-FOA-0003673). Status: Closes January 12, 2027 (66 days left). It is in our archive of Office of Science notices from 2024.

Office of Science offered grants of up to $3.0 million (at least $600,000) to any type of organization. It expected to make $15.0 million in total. Applications closed on May 7, 2024.

From the official notice on Grants.gov, last changed January 16, 2024. Checked November 7, 2026.

Other notices with this title

Office of Science has posted this title under other numbers: earlier or later rounds, or the same competition for another area. Each has its own dates and may change its rules.

NoticePostedDeadlineStatus
DE-FOA-0002501April 15, 2021Closed June 4, 2021Closed

Key dates

PostedJanuary 16, 2024
DeadlineMay 7, 2024
Archived by Grants.govJune 6, 2024

Who can apply

This opportunity was open to any type of organization.

All types of domestic applicants are eligible to apply, except nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995. Federally affiliated entities must adhere to the eligibility standards below: III.A.1. DOE/NNSA National Laboratories DOE/NNSA National Laboratories are eligible to submit applications (either as a lead organization or as a team member in a multi-institutional team) under this FOA and may be proposed as subrecipients under another organization’s application. If recommended for funding as a lead applicant or a team member, funding will be provided through the DOE Field-Work Proposal System and work will be conducted under the laboratory’s contract with DOE. No administrative provisions of this FOA will apply to the laboratory or any laboratory subcontractor. If recommended for funding as a proposed subrecipient, the value of the proposed subaward will be removed from the prime applicant’s award and will be provided to the laboratory through the DOE Field-Work Proposal System and work will be conducted under the laboratory’s contract with DOE. Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA. III.A.2. Non-DOE/NNSA FFRDCs Non-DOE/NNSA FFRDCs are eligible to submit applications (either as a lead organization or as a team member in a multi-institutional team) under this FOA and may be proposed as subrecipients under another organization’s application. If recommended for funding as a lead applicant or a team member, funding will be provided through an interagency agreement Award to the FFRDC’s sponsoring Federal Agency. If recommended for funding as a proposed subrecipient, the value of the proposed subaward may be removed from the prime applicant’s award and may be provided through an Inter-Agency Award to the FFRDC’s sponsoring Federal Agency. Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA. III.A.3. Other Federal Agencies Other Federal Agencies are eligible to submit applications (either as a lead organization or as a team member in a multi-institutional team) under this FOA and may be proposed as subrecipients under another organization’s application. If recommended for funding as a lead applicant or a team member, funding will be provided through an interagency agreement. If recommended for funding as a proposed subrecipient, the value of the proposed subaward may be removed from the prime applicant’s award and may be provided through an interagency agreement. Additional instructions for providing statutory authorization are found in Section VIII of this FOA.

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Is this a realistic fit?

What the grant funds

Scientific observations, experiments, and simulations are producing data at rates beyond our capacity to store, analyze, stream, and archive the data in raw form. Of necessity, many research groups have already begun reducing the size of their data sets via techniques such as compression, reduced order models, experiment-specific triggers, filtering, and feature extraction. Once reduced in size, transporting, storing, and analyzing the data is still a considerable challenge – a reality that motivates SC’s Integrated Research Infrastructure (IRI) program [1] and necessitates further innovation in data-reduction methods. These further efforts should continue to increase the level of mathematical rigor in scientific data reduction to ensure that scientifically-relevant constraints on quantities of interest are satisfied, that methods can be integrated into scientific workflows, and that methods are implemented in a manner that inspires trust that the desired information is preserved. Moreover, as the scientific community continues to drive innovation in artificial intelligence (AI), important opportunities to apply AI methods to the challenges of scientific data reduction and apply data-reduction techniques to enable scientific AI, continue to present themselves [2-4]. The drivers for data reduction techniques constitute a broad and diverse set of scientific disciplines that cover every aspect of the DOE scientific mission. An incomplete list includes light sources, accelerators, radio astronomy, cosmology, fusion, climate, materials, combustion, the power grid, and genomics, all of which have either observatories, experimental facilities, or simulation needs that produce unwieldy amounts of raw data. ASCR is interested in algorithms, techniques, and workflows that can reduce the volume of such data, and that have the potential to be broadly applied to more than one application. Applicants who submit a pre-application that focuses on a single science application may be discouraged from submitting a full proposal. Accordingly, a virtual DOE workshop entitled “Data Reduction for Science” was held in January of 2021, resulting in a brochure [5] detailing four priority research directions (PRDs) identified during the workshop.

Category: Science and Technology and other Research and Development.

Who has won Office of Science Financial Assistance Program grants before

From fiscal 2021 to 2025, Office of Science Financial Assistance Program (81.049) awarded $7.7 billion across 6,205 grant awards, an average of $1.2 million per award.

Largest recipients, fiscal 2021 to 2025
RecipientStateAwardsAmount
Michigan State University FoundationMichigan84$573 million
General AtomicsCalifornia30$495 million
University of Wisconsin SystemWisconsin101$275 million
Massachusetts Institute of TechnologyMassachusetts118$238 million
University of IllinoisIllinois61$201 million

Top states: California ($1.5 billion), Michigan ($707 million), Massachusetts ($509 million), Illinois ($461 million), New York ($445 million).

Applying now

This notice no longer takes applications. Apply under the newer notice, DE-FOA-0003673, which is open now.

The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.

Questions people ask

Is DE-FOA-0003266 still open?

No. It closed on May 7, 2024. A newer notice is open: DE-FOA-0003673, closes January 12, 2027 (66 days left).

Who can apply for Data Reduction for Science?

Office of Science accepted applications from any type of organization. The notice adds further conditions, so read its eligibility section.

What is the deadline for Data Reduction for Science?

Closed May 7, 2024. Applications are no longer accepted; the program's newer notices are on this page when there are any.

How much funding is available?

Awards of up to $3.0 million each. About $15.0 million in total.

Who has won Office of Science Financial Assistance Program grants before?

The largest recipients over five fiscal years were Michigan State University Foundation, General Atomics, University of Wisconsin System. The program made 6,205 awards worth $7.7 billion in that time.

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