Open Data Framework

The purpose of ODF, under assistance listing 10.233, is to build frameworks to create neutral and secure data repositories and cooperatives where producers, universities and nonprofit entities can store and share data in ways that will foster agricultural innovation, support technological progress, profitability, and increase production efficiencies. The program prioritizes frameworks that address farm and ranch profitability, new markets and uses for agricultural products, invasive species, soil health to regenerate long-term productivity, or improving human health through precision nutrient and food quality.

Eligibility Requirements Applicants for the ODF must meet all the requirements discussed in this NOFO. Failure to meet the eligibility criteria by the application deadline may result in exclusion from consideration or preclude NIFA from making an award. For those new to federal financial assistance, NIFA’s About Grants provides highly recommended information about grants and other resources to help understand the federal awards process. Applications will only be accepted from organizations, not from individuals. Organizations may include state agricultural experiment stations, colleges and universities, research institutions and organizations, private organizations, foundations or corporations, federal agencies, National laboratories.

NIFA evaluates each application in a two-part process. First, each application is reviewed to ensure that it meets the administrative requirements set forth in the NOFO. Second, a peer-review process will be used to evaluate the scientific and technical merit of applications that have meet the administrative requirements. After each peer review panel has completed deliberations, the responsible NIFA program staff will either recommend an application for support from available funds or decline an application due to insufficient funds or unfavorable review.

Fiscal year 2025: In FY25 the TerraScope project focuses on developing a data framework using AI and LLMs to assess soil health properties with a focus on productivity and long-term viability tools for farmers and researchers.