OPEN SCIENCE CLOUD in USA
In the USA, there is a new open science policy supported by OSTP and by an interim advice to NIH to make all data and related services ‘AI-ready’ (AI-ready is in fact quite identical to FAIR, namely findable, accessible, interoperable and reusable for machines, who perform machine learning and increasingly smart algorithms on AI-ready data). See https://acd.od.nih.gov/documents/presentations/06132019AI.pdf.
The Board on Research Data and Information (http://sites.nationalacademies.org/PGA/brdi/index.htm) has a formal role on behalf the National Academy of Science and Engineering to coordinate the landscape of Open Science and the associated infrastructure. The Board recently committed a study on ‘Open Science By Design’ (https://www.nap.edu/catalog/25116/open-science-by-design-realizing-a-vision-for-21st-century) in which the FAIR principles featured very prominently and collaboration with Europe was specifically mentioned. The USA has participated with NSF, NIST, NIH, SPARC-USA and CNRI (a.o.) in the global consensus building around the concept of a FAIR Digital Object. (https://ec.europa.eu/info/sites/info/files/turning_fair_into_reality_1.pdf).
Furthermore, the US Office of Science and Technology Policy (OSTP) issued a memorandum in 2013 instructing all federal agencies that spend more than $100 million per year on research and development to “develop a plan to support increased public access to the results of research funded by the Federal Government” (OSTP, 2013, p. 5). It also directs agencies to review options and needs for data repositories in areas of research they support and to require “all extramural researchers receiving Federal grants and contracts for scientific research and intramural researchers [to] develop data management plans” (OSTP, 2013, p. 5). The memo requires investigators to specify appropriate data management processes and options for longterm data access and preservation.
See also the post “ FAIR DIGITAL OBJECTS” for more cooperation between EU and USA on interoperability.