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National Science Foundation·Virginia

NSF/NCSES Output and Goods Trade Data Sources Sought

Closes 7/15/2026$100k – $500kRequest for Information
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Description

The National Science Foundation (NSF) is conducting market research to identify qualified, experienced, and interested sources to support the National Center for Science and Engineering Statistics (NCSES). The NSF is seeking capability statements from vendors who can provide output and goods trade data specifications. The required data includes tabulations of annual nominal and real value-added output for all industries, as well as goods trade data for at least 75 countries. • The vendor should have experience in providing tabulations of annual nominal and real value-added output for all industries using the International Standard Industrial Classification (ISIC) Revision 4. • The vendor should have experience in calculating nominal and real value-added output for specific industries. • The vendor should have experience in providing tabulations of annual goods exports and imports for all ISIC Revision 4 industries. • The vendor should have experience in providing tabulations formatted with countries in rows and industries in columns, and separately with industries/countries in rows and all years in columns.

Attached files

Contact

Derek Bowks

[email protected]

Key dates

Opened
7/1/2026
Closes
7/15/2026

Last updated

Details

Type
Request for Information
Industry
Information Technology and Software Development
NAICS
541990
Solicitation №
49100426K0007

Budget estimate

$100,000 – $500,000

The budget for this opportunity is difficult to estimate because the document does not provide a specific budget or funding amount. However, based on the scope of work, which includes providing output and goods trade data specifications, the budget could be in the range of $100,000 to $500,000. This estimate is based on the assumption that the vendor will need to provide complex data analysis and processing services, which may require significant resources and expertise. Factors that may influence the likely payment range include the vendor's level of experience, the complexity of the data requirements, and the amount of time and resources required to complete the project.

AI estimate from the solicitation

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