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pro vyhledávání: '"Kavoori Ishaan H."'
Autor:
Li Haoyang, Duarte Javier, Roy Avik, Zhu Ruike, Huerta E. A., Diaz Daniel, Harris Philip, Kansal Raghav, Katz Daniel S., Kavoori Ishaan H., Kindratenko Volodymyr V., Mokhtar Farouk, Neubauer Mark S., Park Sang Eon, Quinnan Melissa, Rusack Roger, Zhao Zhizhen
Publikováno v:
EPJ Web of Conferences, Vol 295, p 09017 (2024)
The findable, accessible, interoperable, and reusable (FAIR) data principles serve as a framework for examining, evaluating, and improving data sharing to advance scientific endeavors. There is an emerging trend to adapt these principles for machine
Externí odkaz:
https://doaj.org/article/4ab127e3bc5b41e2a36e37e44ea0a8e1
Autor:
Duarte, Javier, Li, Haoyang, Roy, Avik, Zhu, Ruike, Huerta, E. A., Diaz, Daniel, Harris, Philip, Kansal, Raghav, Katz, Daniel S., Kavoori, Ishaan H., Kindratenko, Volodymyr V., Mokhtar, Farouk, Neubauer, Mark S., Park, Sang Eon, Quinnan, Melissa, Rusack, Roger, Zhao, Zhizhen
Publikováno v:
Mach. Learn.: Sci. Technol. 4 (2023) 045062
The findable, accessible, interoperable, and reusable (FAIR) data principles provide a framework for examining, evaluating, and improving how data is shared to facilitate scientific discovery. Generalizing these principles to research software and ot
Externí odkaz:
http://arxiv.org/abs/2212.05081
Akademický článek
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Autor:
Javier Mauricio Duarte, Li, Haoyang, Roy, Avik, Zhu, Ruike, Huerta, E. A., Diaz, Daniel, Harris, Philip, Kansal, Raghav, Katz, Daniel S., Kavoori, Ishaan H., Kindratenko, Volodymyr V., Mokhtar, Farouk, Neubauer, Mark S., Park, Sang Eon, Quinnan, Melissa, Rusack, Roger, Zhao, Zhizhen
Publikováno v:
INSPIRE-HEP
The findable, accessible, interoperable, and reusable (FAIR) data principles have provided a framework for examining, evaluating, and improving how we share data with the aim of facilitating scientific discovery. Efforts have been made to generalize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f08f0de5f8567edd018f343ef884e9