Ten simple rules for leading a many-author non-empirical paper

Many-author non-empirical papers include recommendations or consensus statements, catalogs of ideas, roadmaps for future research, calls to action, or "how to" articles. These papers have great potential to change the conversation or address unmet needs within research communities. Large, diverse authorship teams can create valuable resources that no individual co-author could create independently. Achieving these goals, however, requires a very different approach than researchers typically use to prepare papers with fewer authors. In the process we describe, a small team of lead writers typically leads the content generation and writing processes. Many co-authors collaborate to create content and provide feedback throughout the writing process. Lead writers face many challenges, including defining the content and structure of the paper, coordinating complex logistics, preparing themselves and co-authors for a unique writing experience, and managing high-volume feedback. Here, we outline ten simple rules for leading a many-author non-empirical paper. These rules guide readers through the content generation and writing processes and highlight practical solutions to common challenges. While these rules were developed by preparing non-empirical papers with at least 30 authors, some rules may apply to research papers or non-empirical papers with fewer authors. Lead writers can also use our companion paper, which shares ten simple rules for being a co-author on a many-author non-empirical paper, to prepare co-authors for an efficient and effective collaborative process.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-08-14
DOI
https://doi.org/10.1371/journal.pcbi.1013283
Citations
1
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
4.20

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article

Ten simple rules for leading a many-author non-empirical paper

Natascha Drude, Friederike E. Kohrs, Tracey L. Weissgerber, Rima-Maria Rahal
1 citations
PLoS Computational Biology
Delphi Technique in Research
4.20
article

Ten simple rules for leading a many-author non-empirical paper

Natascha Drude, Friederike E. Kohrs, Tracey L. Weissgerber, Rima-Maria Rahal
article en
1 citations

Abstract

Many-author non-empirical papers include recommendations or consensus statements, catalogs of ideas, roadmaps for future research, calls to action, or "how to" articles. These papers have great potential to change the conversation or address unmet needs within research communities. Large, diverse authorship teams can create valuable resources that no individual co-author could create independently. Achieving these goals, however, requires a very different approach than researchers typically use to prepare papers with fewer authors. In the process we describe, a small team of lead writers typically leads the content generation and writing processes. Many co-authors collaborate to create content and provide feedback throughout the writing process. Lead writers face many challenges, including defining the content and structure of the paper, coordinating complex logistics, preparing themselves and co-authors for a unique writing experience, and managing high-volume feedback. Here, we outline ten simple rules for leading a many-author non-empirical paper. These rules guide readers through the content generation and writing processes and highlight practical solutions to common challenges. While these rules were developed by preparing non-empirical papers with at least 30 authors, some rules may apply to research papers or non-empirical papers with fewer authors. Lead writers can also use our companion paper, which shares ten simple rules for being a co-author on a many-author non-empirical paper, to prepare co-authors for an efficient and effective collaborative process.

PLoS Computational BiologyVol. 21(8)
Vienna University of Economics and Business (AT), Max Planck Institute for Behavioral Economics (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), University of Coimbra (PT)
Wellcome Trust, Berlin Institute of Health, HORIZON EUROPE Framework Programme, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 6%
Delphi Technique in Research
4.20
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