Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Oct 16, 2020
Open Peer Review Period: Oct 16, 2020 - Nov 5, 2020
Date Accepted: Apr 30, 2021
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Crowdsourcing Cross-Disciplinary Collaboration in the Health Professions: A Novel Method and Tools for Replication
ABSTRACT
Background:
Authorship teams in the health professions are typically composed of scholars who are acquainted with one another before a manuscript is written. Even if a scholar has identified a diverse group of collaborators outside their usual network, writing an article with a large number of co-authors poses significant logistical challenges.
Objective:
This paper describes a novel method for crowdsourcing cross-disciplinary collaboration that facilitates the efficient development of diverse authorship teams and high-quality manuscripts.
Methods:
On September 11, 2020, I used the social media platform Twitter to invite people to collaborate on an article I had drafted. Anyone who wanted to collaborate was welcome, regardless of discipline, specialty, title, country of residence, or degree completion. During the twenty-five days that followed, I used Google Docs, Google Sheets, and Google Forms to manage all aspects of the collaboration.
Results:
The collaboration resulted in the completion of two manuscripts in a twenty-five day period. Forty collaborators met the ICMJE authorship criteria for the first article (“Documenting Social Media Engagement as Scholarship: A New Model for Assessing Academic Accomplishment for the Health Professions”) and thirty-five collaborators met the ICMJE authorship criteria for the second article (“The Benefits of Using Social Media as a Health Professional in Academia”). The authorship teams for both articles were notably diverse, with 17-18% of authors identifying as a person of color and/or under-represented minority, 37-38% identifying as LGBTQ+, 73-74% using she/her pronouns, and 20-23% identifying as a person with a disability.
Conclusions:
Scholars in the health professions can use this paper in conjunction with the tools provided to replicate this process in carrying out their own large-scale manuscript collaborations.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.