Huerta, E. A., Blaiszik, B., Brinson, L. C., Bouchard, K. E., Diaz, D., Doglioni, C., … Zhu, R. (2023). FAIR for AI: An interdisciplinary and international community building perspective. Scientific Data, 10(1), 487. https://doi.org/10.1038/s41597-023-02298-6

Huerta, E. A., Ben Blaiszik, L Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, et al. “FAIR for AI: An interdisciplinary and international community building perspective.” Scientific Data 10, no. 1 (July 2023): 487. https://doi.org/10.1038/s41597-023-02298-6.

Huerta EA, Blaiszik B, Brinson LC, Bouchard KE, Diaz D, Doglioni C, et al. FAIR for AI: An interdisciplinary and international community building perspective. Scientific data. 2023 Jul;10(1):487.

Huerta, E. A., et al. “FAIR for AI: An interdisciplinary and international community building perspective.” Scientific Data, vol. 10, no. 1, July 2023, p. 487. Epmc, doi:10.1038/s41597-023-02298-6.

Huerta EA, Blaiszik B, Brinson LC, Bouchard KE, Diaz D, Doglioni C, Duarte JM, Emani M, Foster I, Fox G, Harris P, Heinrich L, Jha S, Katz DS, Kindratenko V, Kirkpatrick CR, Lassila-Perini K, Madduri RK, Neubauer MS, Psomopoulos FE, Roy A, Rübel O, Zhao Z, Zhu R. FAIR for AI: An interdisciplinary and international community building perspective. Scientific data. 2023 Jul;10(1):487.