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Universal Principled Review: A Community-Driven Method to Improve Peer Review
Author(s) -
Matthew F. Krummel,
Catherine A. Blish,
Michael S. Kuhns,
Ken Cadwell,
Andrew Oberst,
Ananda W. Goldrath,
K. Mark Ansel,
Hongbo Chi,
Ryan M. O’Connell,
E. John Wherry,
Marion Pepper,
Igor E. Brodsky,
John T. Chang,
Joseph R. Arron,
Nick Haining,
Deepta Bhattacharya,
Mark Anderson,
Carla V. Rothlin,
Susan R. Schwab,
Yasmine Belkaid,
Ari B. Molofsky,
Pete Savage,
Daniel Mucida,
Akiko Iwasaki,
Gabriel D. Victora,
Jessica A. Hamerman,
David Masopust,
Greg Barton,
Susan M. Kaech,
Prescott G. Woodruff,
Daniel B. Stetson,
Tiffany C. Scharschmidt,
Ross M. Kedl,
Elina I. Zúñiga,
Alexander Hoffmann,
Matt Williams,
Katrin D. MayerBarber,
Sunny Shin,
Steven J. Bensinger,
Li-Fan Lu,
Mark R. Looney,
J Round,
Sébastian Amigorena,
Jonathan W. Yewdell,
Joseph C. Sun,
John T. Harty
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.11.029
Subject(s) - transparency (behavior) , biology , process (computing) , criticism , ideal (ethics) , engineering ethics , quality (philosophy) , data science , computer science , epistemology , political science , law , philosophy , computer security , engineering , operating system
Despite being a staple of our science, the process of pre-publication peer review has few agreed-upon standards defining its goals or ideal execution. As a community of reviewers and authors, we assembled an evaluation format and associated specific standards for the process as we think it should be practiced. We propose that we apply, debate, and ultimately extend these to improve the transparency of our criticism and the speed with which quality data and ideas become public.

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