1. Laboratory information management system for COVID-19 non-clinical efficacy trial data.
- Author
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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, and An, Se-Hee
- Subjects
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INFORMATION resources management , *COVID-19 pandemic , *BODY temperature , *CLINICAL trials , *HISTOPATHOLOGY - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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