Cargando…
FAIR for AI: An interdisciplinary and international community building perspective
A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data. The principles were also meant to apply to other digital assets, a...
Autores principales: | Huerta, E. A., Blaiszik, Ben, Brinson, L. Catherine, Bouchard, Kristofer E., Diaz, Daniel, Doglioni, Caterina, Duarte, Javier M., Emani, Murali, Foster, Ian, Fox, Geoffrey, Harris, Philip, Heinrich, Lukas, Jha, Shantenu, Katz, Daniel S., Kindratenko, Volodymyr, Kirkpatrick, Christine R., Lassila-Perini, Kati, Madduri, Ravi K., Neubauer, Mark S., Psomopoulos, Fotis E., Roy, Avik, Rübel, Oliver, Zhao, Zhizhen, Zhu, Ruike |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372139/ https://www.ncbi.nlm.nih.gov/pubmed/37495591 http://dx.doi.org/10.1038/s41597-023-02298-6 |
Ejemplares similares
-
A FAIR and AI-ready Higgs boson decay dataset
por: Chen, Yifan, et al.
Publicado: (2022) -
Introducing the FAIR Principles for research software
por: Barker, Michelle, et al.
Publicado: (2022) -
Numerical computations with GPUs
por: Kindratenko, Volodymyr
Publicado: (2014) -
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy
por: Ravi, Nikil, et al.
Publicado: (2022) -
The Need for an Interdisciplinary Approach to Norm Diffusion: The Case of Fair and Equitable Benefit‐sharing
por: Parks, Louisa, et al.
Publicado: (2015)