Laboratory information management system for COVID-19 non-clinical efficacy trial data

Abstract Background As the number of large-scale studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable format is needed. In response to the coronavirus disease 2019 (COVID-19) pandemic, a number of global efforts are underway...

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Principais autores:	Suhyeon Yoon, Hyuna Noh, Heejin Jin, Sungyoung Lee, Soyul Han, Sung-Hee Kim, Jiseon Kim, Jung Seon Seo, Jeong Jin Kim, In Ho Park, Jooyeon Oh, Joon-Yong Bae, Gee Eun Lee, Sun-Je Woo, Sun-Min Seo, Na-Won Kim, Youn Woo Lee, Hui Jeong Jang, Seung-Min Hong, Se-Hee An, Kwang-Soo Lyoo, Minjoo Yeom, Hanbyeul Lee, Bud Jung, Sun-Woo Yoon, Jung-Ah Kang, Sang-Hyuk Seok, Yu Jin Lee, Seo Yeon Kim, Young Been Kim, Ji-Yeon Hwang, Dain On, Soo-Yeon Lim, Sol Pin Kim, Ji Yun Jang, Ho Lee, Kyoungmi Kim, Hyo-Jung Lee, Hong Bin Kim, Jun Won Park, Dae Gwin Jeong, Daesub Song, Kang-Seuk Choi, Ho-Young Lee, Yang-Kyu Choi, Jung-ah Choi, Manki Song, Man-Seong Park, Jun-Young Seo, Ki Taek Nam, Jeon-Soo Shin, Sungho Won, Jun-Won Yun, Je Kyung Seong
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2022-06-01
Serija:	Laboratory Animal Research
Teme:	SARS-CoV-2 COVID-19 Non-clinical Laboratory information management system Data
Online dostop:	https://doi.org/10.1186/s42826-022-00127-2
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