publication . Article . 2020

No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics

Dannon Baker; Marius van den Beek; Daniel Blankenberg; Dave Bouvier; John Chilton; Nate Coraor; Frederik Coppens; Ignacio Eguinoa; Simon Gladman; Björn Grüning; ...
Open Access
  • Published: 01 Aug 2020 Journal: PLOS Pathogens, volume 16, page e1008643 (eissn: 1553-7374, Copyright policy)
  • Publisher: Public Library of Science (PLoS)
  • Country: Belgium
Abstract
The current state of much of the Wuhan pneumonia virus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) research shows a regrettable lack of data sharing and considerable analytical obfuscation. This impedes global research cooperation, which is essential for tackling public health emergencies and requires unimpeded access to data, analysis tools, and computational infrastructure. Here, we show that community efforts in developing open analytical software tools over the past 10 years, combined with national investments into scientific computational infrastructure, can overcome these deficiencies and provide an accessible platform for tackling globa...
Subjects
free text keywords: Immunology, Genetics, Molecular Biology, Microbiology, Parasitology, Virology, Opinion, Biology and life sciences, Organisms, Viruses, RNA viruses, Coronaviruses, SARS coronavirus, SARS CoV 2, Medical microbiology, Microbial pathogens, Viral pathogens, Medicine and health sciences, Pathology and laboratory medicine, Pathogens, Computational Biology, Genome Analysis, Genomics, Medical Conditions, Infectious Diseases, Viral Diseases, Covid 19, SARS, Transmissible Gastroenteritis Coronavirus, Computer and Information Sciences, Software Engineering, Computer Software, Open Source Software, Engineering and Technology, Science Policy, Open Science, Preprocessing, Medicine and Health Sciences, Immunology, Genetics, Molecular Biology, Microbiology, Parasitology, Virology, CORONAVIRUS, COVID-19 ; Genomics ; Open source software ; Transmissible gastroenteritis coronavirus ; Genome analysis ; SARS ; Preprocessing ; SARS-CoV-2, Immunologic diseases. Allergy, RC581-607, Biology (General), QH301-705.5, Data access, Raw data, Software analytics, Data science, Analytics, business.industry, business, Data sharing, Computer science, Open data, Agile software development, Software deployment
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