This bill mandates the National Institute of Standards and Technology (NIST) to establish comprehensive definitions, standards, resources, and frameworks within two years to ensure that biological datasets resulting from qualified federally funded research are "artificial intelligence-ready." This readiness means datasets are generated and formatted to enable effective training of AI models and support advancements in artificial intelligence and biotechnology. NIST will define key terms such as "artificial intelligence-ready" and "qualified federally funded research," and develop specific standards for making datasets AI-ready. It will also create essential data management resources and cybersecurity frameworks for federal agencies and researchers involved in generating these datasets, with a focus on avoiding undue burden on recipients. The legislation requires NIST to consult extensively with federal agencies, private sector entities from the biotechnology and AI industries, and academia throughout this process. An advisory group, comprising representatives from federal agencies, academia, private sector, and academic publishers, will also be established to provide recommendations and feedback on the developed guidelines and policies. Furthermore, NIST must establish or revise agency-specific data management policies for federal funding agencies, ensuring compliance and providing mechanisms for oversight, including a public database for AI-ready datasets. Regular testing and evaluation, coordinated with the National Science Foundation, will assess the clarity, applicability, and potential burden of these standards on researchers. NIST is required to submit annual reports to Congress on the implementation and effectiveness of these provisions, with a Government Accountability Office report due after five years to assess their overall impact. The entire section of this act is set to terminate ten years after its date of enactment.