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Developing a standardized but extendable framework to increase the findability of infectious disease datasets
Biomedical datasets are increasing in size, stored in many repositories, and face challenges in FAIRness (findability, accessibility, interoperability, reusability). As a Consortium of infectious disease researchers from 15 Centers, we aim to adopt open science practices to promote transparency, enc...
Autores principales: | Tsueng, Ginger, Cano, Marco A. Alvarado, Bento, José, Czech, Candice, Kang, Mengjia, Pache, Lars, Rasmussen, Luke V., Savidge, Tor C., Starren, Justin, Wu, Qinglong, Xin, Jiwen, Yeaman, Michael R., Zhou, Xinghua, Su, Andrew I., Wu, Chunlei, Brown, Liliana, Shabman, Reed S., Hughes, Laura D. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950378/ https://www.ncbi.nlm.nih.gov/pubmed/36823157 http://dx.doi.org/10.1038/s41597-023-01968-9 |
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