Ten simple rules for collaboratively writing a multi-authored paper

Science is increasingly done in large teams, making it more likely that papers will be written by several authors from different institutes, disciplines, and cultural backgrounds. A small number of “Ten simple rules” papers have been written on collaboration and on writing but not on combining the two. Collaborative writing with multiple authors has additional challenges, including varied levels of engagement of coauthors, provision of fair credit through authorship or acknowledgements, acceptance of a diversity of work styles, and the need for clear communication. Miscommunication, a lack of leadership, and inappropriate tools or writing approaches can lead to frustration, delay of publication, or even the termination of a project. To provide insight into collaborative writing, we use our experience from the Global Lake Ecological Observatory Network (GLEON) to frame 10 simple rules for collaboratively writing a multi-authored paper. We consider a collaborative multi-authored paper to have three or more people from at least two different institutions. A multi-authored paper can be a result of a single discrete research project or the outcome of a larger research program that includes other papers based on common data or methods. The writing of a multi-authored paper is embedded within a broader context of planning and collaboration among team members. Our recommended rules include elements of both the planning and writing of a paper, and they can be iterative, although we have listed them in numerical order. It will help to revisit the rules frequently throughout the writing process. With the 10 rules outlined below, we aim to provide a foundation for writing multi-authored papers and conducting exciting and influential science.

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PID https://www.doi.org/10.1371/journal.pcbi.1006508
PID pmc:PMC6237291
PID pmid:30439938
URL https://doaj.org/toc/1553-734X
URL https://doaj.org/toc/1553-7358
URL http://europepmc.org/articles/PMC6237291
URL https://doi.org/10.1371/journal.pcbi.1006508
URL https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006508&type=printable
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237291/
URL http://dx.plos.org/10.1371/journal.pcbi.1006508
URL https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006508
URL https://academic.microsoft.com/#/detail/2900535746
URL https://research-repository.griffith.edu.au/handle/10072/387581
URL https://dblp.uni-trier.de/db/journals/ploscb/ploscb14.html#FrasslHDEHKSLWO18
URL http://dx.doi.org/10.1371/journal.pcbi.1006508
URL https://dx.plos.org/10.1371/journal.pcbi.1006508
URL http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-367047
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Author Marieke A. Frassl, 0000-0001-8843-8477
Author David P. Hamilton, 0000-0002-9341-8777
Author Blaize A. Denfeld, 0000-0003-4391-7399
Author Elvira de Eyto, 0000-0003-2281-2491
Author Stephanie E. Hampton
Author Philipp S. Keller, 0000-0002-3565-4413
Author Sapna Sharma
Author Abigail S. L. Lewis, 0000-0001-9933-4542
Author Gesa A. Weyhenmeyer, 0000-0002-4013-2281
Author Catherine M. O’Reilly, 0000-0001-9685-3697
Author Mary E. Lofton
Author Núria Catalán, 0000-0002-2433-4190
Contributor Lewitter, Fran
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Collected From Publikationer från Uppsala Universitet; PubMed Central; ORCID; UnpayWall; Datacite; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By Publikationer från Uppsala Universitet; Europe PubMed Central; PLoS Computational Biology
Journal PLOS Computational Biology, 14, null
Publication Date 2018-11-01
Publisher Public Library of Science (PLoS)
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Country Sweden
Format application/pdf
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Resource Type Other literature type; Article
keyword keywords.Ecology, Evolution, Behavior and Systematics
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::1ae135465c240ab22c49f58f2fa794f5
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Last Updated 25 December 2020, 00:02 (CET)
Created 25 December 2020, 00:02 (CET)