; (B) public cloud providers providing access to popular computational and storage services for NAIRR users; (C) an open source software environment for the NAIRR; and (D) an application programming interface providing structured access to artificial intelligence models. (2) Data, including by— (A) (i) in coordination with the National Institute of Standards and Technology and consistent with the guidance of the National Science and Technology Council titled Desirable Characteristics of Data Repositories for Federally Funded Data, dated May 2022, or any successor document, publishing interoperability standards for data repositories based on the data sharing and documentation standards and guidelines produced under section 22A of the National Institute of Standards and Technology Act ( 15 U.S.C. 278h–1 ); and (ii) selecting and developing, through a competitive bidding process, data repositories to be available to NAIRR users; (B) establishing acceptable criteria for datasets used as resources of the NAIRR; (C) identifying and providing access to existing curated datasets of value and interest to the NAIRR user community; (D) establishing an artificial intelligence open data commons to facilitate community sharing and curation of data, code, and models; and (E) coordinating with the Interagency Council on Statistical Policy to explore options to make Federal statistical data available to NAIRR users, including through the standard application process established under section 3583(a) of title 44, United States Code. (3) Educational tools and services, including by— (A) facilitating and curating educational and training materials; (B) providing technical training and user support