Open collaborative writing with Manubot.

Open, collaborative research is a powerful paradigm that can immensely strengthen the scientific process by integrating broad and diverse expertise. However, traditional research and multi-author writing processes break down at scale. We present new software named Manubot, available at https://manubot.org, to address the challenges of open scholarly writing. Manubot adopts the contribution workflow used by many large-scale open source software projects to enable collaborative authoring of scholarly manuscripts. With Manubot, manuscripts are written in Markdown and stored in a Git repository to precisely track changes over time. By hosting manuscript repositories publicly, such as on GitHub, multiple authors can simultaneously propose and review changes. A cloud service automatically evaluates proposed changes to catch errors. Publication with Manubot is continuous: When a manuscript’s source changes, the rendered outputs are rebuilt and republished to a web page. Manubot automates bibliographic tasks by implementing citation by identifier, where users cite persistent identifiers (e.g. DOIs, PubMed IDs, ISBNs, URLs), whose metadata is then retrieved and converted to a user-specified style. Manubot modernizes publishing to align with the ideals of open science by making it transparent, reproducible, immediate, versioned, collaborative, and free of charge.

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Identity

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PID https://www.doi.org/10.1371/journal.pcbi.1007128
PID pmc:PMC6611653
PID pmid:31233491
URL https://dx.plos.org/10.1371/journal.pcbi.1007128
URL http://dx.doi.org/10.1371/journal.pcbi.1007128
URL https://academic.microsoft.com/#/detail/2953025047
URL https://doaj.org/toc/1553-734X
URL https://www.ncbi.nlm.nih.gov/pubmed/31233491
URL https://dblp.uni-trier.de/db/journals/ploscb/ploscb15.html#HimmelsteinRSHM19
URL http://europepmc.org/articles/PMC6611653
URL https://doaj.org/toc/1553-7358
URL https://doi.org/10.1371/journal.pcbi.1007128
URL http://dx.plos.org/10.1371/journal.pcbi.1007128
URL https://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1007128
URL https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007128&type=printable
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611653
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Access Right Open Access
Attribution

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Author Himmelstein, Daniel S., 0000-0002-3012-7446
Author Rubinetti, Vincent, 0000-0002-4655-3773
Author Slochower, David R., 0000-0003-3928-5050
Author Hu, Dongbo
Author Malladi, Venkat S., 0000-0002-0144-0564
Author Greene, Casey S., 0000-0001-8713-9213
Author Gitter, Anthony, 0000-0002-5324-9833
Contributor Schneidman-Duhovny, Dina
Publishing

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Collected From PubMed Central; ORCID; Datacite; UnpayWall; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By Europe PubMed Central; PLoS Computational Biology
Journal PLoS Computational Biology, ,
Publication Date 2019-06-01
Publisher Public Library of Science (PLoS)
Additional Info
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Description Author summary Traditionally, scholarly manuscripts have been written in private by a predefined team of collaborators. But now the internet enables realtime open science, where project communication occurs online in a public venue and anyone is able to contribute. Dispersed teams of online contributors require new tools to jointly prepare manuscripts. Existing tools fail to scale beyond tens of authors and struggle to support iterative refinement of proposed changes. Therefore, we created a system called Manubot for writing manuscripts based on collaborative version control. Manubot adopts the workflow from open source software development, which has enabled hundreds of contributors to simultaneously develop complex codebases such as Python and Linux, and applies it to open collaborative writing. Manubot also addresses other shortcomings of current publishing tools. Specifically, all changes to a manuscript are tracked, enabling transparency and better attribution of credit. Manubot automates many tasks, including creating the bibliography and deploying the manuscript as a webpage. Manubot webpages preserve old versions and provide a simple yet interactive interface for reading. As such, Manubot is a suitable foundation for next-generation preprints. Manuscript readers have ample opportunity to not only provide public peer review but also to contribute improvements, before and after journal publication.
Language English
Resource Type Other literature type; Article
keyword keywords.Ecology, Evolution, Behavior and Systematics
system:type publication
Management Info
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::40772a65117f2f520f7451adf9f6699d
Author jsonws_user
Last Updated 25 December 2020, 01:22 (CET)
Created 25 December 2020, 01:22 (CET)