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An Open-Publishing Response to the COVID-19 Infodemic
The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19 demands a multidisciplinary approach, but the urgency of the crisis combined with the need for social distancing measure...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452106/ https://www.ncbi.nlm.nih.gov/pubmed/34545336 |
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author | Rando, Halie M. Boca, Simina M. McGowan, Lucy D’Agostino Himmelstein, Daniel S. Robson, Michael P. Rubinetti, Vincent Velazquez, Ryan Greene, Casey S. Gitter, Anthony |
author_facet | Rando, Halie M. Boca, Simina M. McGowan, Lucy D’Agostino Himmelstein, Daniel S. Robson, Michael P. Rubinetti, Vincent Velazquez, Ryan Greene, Casey S. Gitter, Anthony |
author_sort | Rando, Halie M. |
collection | PubMed |
description | The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19 demands a multidisciplinary approach, but the urgency of the crisis combined with the need for social distancing measures present unique challenges to collaborative science. We applied a massive online open publishing approach to this problem using Manubot. Through GitHub, collaborators summarized and critiqued COVID-19 literature, creating a review manuscript. Manubot automatically compiled citation information for referenced preprints, journal publications, websites, and clinical trials. Continuous integration workflows retrieved up-to-date data from online sources nightly, regenerating some of the manuscript’s figures and statistics. Manubot rendered the manuscript into PDF, HTML, LaTeX, and DOCX outputs, immediately updating the version available online upon the integration of new content. Through this effort, we organized over 50 scientists from a range of backgrounds who evaluated over 1,500 sources and developed seven literature reviews. While many efforts from the computational community have focused on mining COVID-19 literature, our project illustrates the power of open publishing to organize both technical and non-technical scientists to aggregate and disseminate information in response to an evolving crisis. |
format | Online Article Text |
id | pubmed-8452106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cornell University |
record_format | MEDLINE/PubMed |
spelling | pubmed-84521062021-09-21 An Open-Publishing Response to the COVID-19 Infodemic Rando, Halie M. Boca, Simina M. McGowan, Lucy D’Agostino Himmelstein, Daniel S. Robson, Michael P. Rubinetti, Vincent Velazquez, Ryan Greene, Casey S. Gitter, Anthony ArXiv Article The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19 demands a multidisciplinary approach, but the urgency of the crisis combined with the need for social distancing measures present unique challenges to collaborative science. We applied a massive online open publishing approach to this problem using Manubot. Through GitHub, collaborators summarized and critiqued COVID-19 literature, creating a review manuscript. Manubot automatically compiled citation information for referenced preprints, journal publications, websites, and clinical trials. Continuous integration workflows retrieved up-to-date data from online sources nightly, regenerating some of the manuscript’s figures and statistics. Manubot rendered the manuscript into PDF, HTML, LaTeX, and DOCX outputs, immediately updating the version available online upon the integration of new content. Through this effort, we organized over 50 scientists from a range of backgrounds who evaluated over 1,500 sources and developed seven literature reviews. While many efforts from the computational community have focused on mining COVID-19 literature, our project illustrates the power of open publishing to organize both technical and non-technical scientists to aggregate and disseminate information in response to an evolving crisis. Cornell University 2021-09-17 /pmc/articles/PMC8452106/ /pubmed/34545336 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under aCreative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by-nc-nd/4.0/Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
spellingShingle | Article Rando, Halie M. Boca, Simina M. McGowan, Lucy D’Agostino Himmelstein, Daniel S. Robson, Michael P. Rubinetti, Vincent Velazquez, Ryan Greene, Casey S. Gitter, Anthony An Open-Publishing Response to the COVID-19 Infodemic |
title | An Open-Publishing Response to the COVID-19 Infodemic |
title_full | An Open-Publishing Response to the COVID-19 Infodemic |
title_fullStr | An Open-Publishing Response to the COVID-19 Infodemic |
title_full_unstemmed | An Open-Publishing Response to the COVID-19 Infodemic |
title_short | An Open-Publishing Response to the COVID-19 Infodemic |
title_sort | open-publishing response to the covid-19 infodemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452106/ https://www.ncbi.nlm.nih.gov/pubmed/34545336 |
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