HR7907-119

What This Bill Does

The AI-Ready Bio-Data Standards Act gives the National Institute of Standards and Technology two years to facilitate definitions, standards, data-management resources, and cybersecurity frameworks that make biological datasets from qualifying federally funded research usable for training artificial-intelligence models. NIST must define AI-ready, biomanufacturing, biotechnology, and qualified federally funded research. Qualification factors include the amount of federal funding, a recipient's capability and expertise, dataset size, and any additional factor NIST selects.

NIST must design the framework so it does not demand expertise or resources beyond those available to covered research recipients. Within one year of enactment it must inventory existing biotechnology standards and federally funded biological datasets, then publish the inventory on a NIST website within another year. NIST and the National Science Foundation must test the framework within two years for clarity, usability, and undue burden. NIST must review it within one year after establishment and annually thereafter.

Federal research-funding agencies may ask NIST for help developing biological-data standards and management plans for AI training and may transfer resources for that work. NIST must create a public central repository for agency standards and plans, a public database through which agencies may publish AI-ready biological datasets, and an agency request mechanism. It must solicit public input and consult USDA, Defense, Energy, NASA, NIH, NSF, other agencies, biotechnology companies, and academics.

Within 180 days NIST must establish an advisory group of at least 12 federal, academic, private-sector, and publisher representatives. The group recommends standards and journal guidelines and reports to NIST. The Federal Acquisition Regulatory Council must revise acquisition rules as needed. NIST provides an interim report after one year and annual reports beginning after two years; GAO reports after five years on effectiveness and recipient burden. The section terminates ten years after enactment.

Who Benefits and How

Artificial-intelligence developers and biotechnology researchers gain more consistently formatted biological datasets and a public point of access. Federal research agencies receive NIST advice, shared standards, management-plan resources, and a central repository. Researchers reusing federally funded biological data face lower discovery and interoperability costs. Federal research sponsors gain a tested framework and recurring burden review. The public gains access to inventories, agency standards, and datasets that agencies publish.

Who Bears the Burden and How

Recipients of qualifying federal research funding may need to format, curate, document, and secure biological datasets under new standards. NIST must hire staff, convene consultations, build repositories, provide agency assistance, review standards annually, and report to Congress. NSF must conduct testing with NIST. Participating agencies must develop standards and plans, publish materials, or transfer resources when requesting assistance. Advisory-group members, the Federal Acquisition Regulatory Council, academic publishers, and GAO receive implementation or review work.

Key Provisions

• Establishes definitions and standards for AI-ready biological datasets within two years.
• Conditions covered research on funding, recipient capability, expertise, dataset size, and NIST-selected factors.
• Requires data-management resources and cybersecurity frameworks.
• Requires an inventory, public website, standards repository, and public dataset database.
• Tests clarity, applicability, and recipient burden with NSF.
• Lets federal agencies request NIST assistance and transfer supporting resources.
• Creates a 12-member-or-larger advisory group within 180 days.
• Requires acquisition-rule revisions, annual NIST reports, and a five-year GAO review.
• Terminates the framework ten years after enactment.