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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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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