Closed · 14-517 · CFDA 47.075;47.076 · Discretionary

Building Community and Capacity for Data-Intensive Research in the Social, Behavioral, and Economic Sciences and in Education and Human Resources

Federal grant opportunity posted by U.S. National Science Foundation, cataloged on Grants.gov.

Varies
Award range
Closed
Status
-
Close date
20
Expected awards

The verdict

Building Community and Capacity for Data-Intensive Research in the Social, Behavioral, and Economic Sciences and in Education and Human Resources is a closed discretionary listing from U.S. National Science Foundation that offered Varies by applicant across 20 expected awards. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 1,338 other opportunities from U.S. National Science Foundation.

Varies
award range
Closed
application status
20
expected awards
47.075;47.076
CFDA program

Archived opportunity record

Building Community and Capacity for Data-Inte… is closed. Check the agency catalog for replacement NOFOs. U.S. National Science Foundation still indexes 1,338 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

This listing is no longer accepting applications

Posted Dec 16 Closed

Est. Total Funding

$6,000,000

Expected Awards

20

Instrument

Grant

Description

As part of NSF's Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, the Directorate for Social, Behavioral, & Economic Sciences (SBE) and the Directorate for Education and Human Resources (EHR) seek to enable research communities to develop visions, teams, and capabilities dedicated to creating new, large-scale, next-generation data resources and relevant analytic techniques to advance fundamental research for the SBE and EHR areas of research. Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research. Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes--but is not necessarily limited to--the SBE or EHR areas of research.

Catch-all / unrestricted eligibility mark · 14-517

Grants.gov marks Building Community and Capacity for Data-Inte… with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the U.S. National Science Foundation book (614 peers, 46% of 1,339).

Code 99
Unrestricted / see official listing

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NSF grants.gov support grantsgovsupport@nsf.gov

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What to do next

Building Community and Capacity for Data-Inte… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 47.075;47.076 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • Compare award ranges across federal categories before you pick a single CFDA. All categories

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Read our methodology - how this data is sourced, computed, and verified.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants