Laboratory information management system for COVID-19 non-clinical efficacy trial dataopen access
- Authors
- Yoon, Suhyeon; Noh, Hyuna; Jin, Heejin; Lee, Sungyoung; Han, Soyul; Kim, Sung-Hee; Kim, Jiseon; Seo, Jung Seon; Kim, Jeong Jin; Park, In Ho; Oh, Jooyeon; Bae, Joon-Yong; Lee, Gee Eun; Woo, Sun-Je; Seo, Sun-Min; Kim, Na-Won; Lee, Youn Woo; Jang, Hui Jeong; Hong, Seung-Min; An, Se-Hee; Lyoo, Kwang-Soo; Yeom, Minjoo; Lee, Hanbyeul; Jung, Bud; Yoon, Sun-Woo; Kang, Jung-Ah; Seok, Sang-Hyuk; Lee, Yu Jin; Kim, Seo Yeon; Kim, Young Been; Hwang, Ji-Yeon; On, Dain; Lim, Soo-Yeon; Kim, Sol Pin; Jang, Ji Yun; Lee, Ho; Kim, Kyoungmi; Lee, Hyo-Jung; Kim, Hong Bin; Park, Jun Won; Jeong, Dae Gwin; Song, Daesub; Choi, Kang-Seuk; Lee, Ho-Young; Choi, Yang-Kyu; Choi, Jung-ah; Song, Manki; Park, Man-Seong; Seo, Jun-Young; Nam, Ki Taek; Shin, Jeon-Soo; Won, Sungho; Yun, Jun-Won; Seong, Je Kyung
- Issue Date
- Jun-2022
- Publisher
- 한국실험동물학회
- Keywords
- SARS-CoV-2; COVID-19; Non-clinical; Laboratory information management system; Data
- Citation
- Laboratory Animal Research, v.38, no.1
- Indexed
- ESCI
KCI
- Journal Title
- Laboratory Animal Research
- Volume
- 38
- Number
- 1
- URI
- https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/61192
- DOI
- 10.1186/s42826-022-00127-2
- ISSN
- 1738-6055
2233-7660
- 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 to develop vaccines and therapeutics. We are therefore observing an explosion in the proliferation of COVID-19 data, and interoperability is highly requested in multiple institutions participating simultaneously in COVID-19 pandemic research.
Results
In this study, a laboratory information management system (LIMS) approach has been adopted to systemically manage various COVID-19 non-clinical trial data, including mortality, clinical signs, body weight, body temperature, organ weights, viral titer (viral replication and viral RNA), and multiorgan histopathology, from multiple institutions based on a web interface. The main aim of the implemented system is to integrate, standardize, and organize data collected from laboratories in multiple institutes for COVID-19 non-clinical efficacy testings. Six animal biosafety level 3 institutions proved the feasibility of our system. Substantial benefits were shown by maximizing collaborative high-quality non-clinical research.
Conclusions
This LIMS platform can be used for future outbreaks, leading to accelerated medical product development through the systematic management of extensive data from non-clinical animal studies.
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- Appears in
Collections - 1. Basic Science > Department of Microbiology > 1. Journal Articles
- 1. Basic Science > Department of Physiology > 1. Journal Articles
- 4. Research institute > Institute for Viral Diseases > 1. Journal Articles
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