The ARRIVE guidelines 2019: updated guidelines for reporting animal research

Nathalie Percie du Sert, Viki Hurst, Amrita Ahluwalia, Sabina Alam, Marc T Avey, Monya Baker, William J Browne, Alejandra Clark, Innes C Cuthill, Ulrich Dirnagl, Michael Emerson, Paul Garner, Stephen T. Holgate, David W Howells, Natasha A. Karp, Katie Lidster, Catriona J MacCallum, Malcolm Macleod, Ole Petersen, Frances RawlePenny Reynolds, Kieron Rooney, Emily S Sena, Shai D Silberberg, Thomas Steckler, Hanno Würbel

Research output: Contribution to journalArticle (Academic Journal)

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Abstract

Reproducible science requires transparent reporting. The ARRIVE guidelines were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of information to include in publications describing in vivo experiments to enable others to scrutinise the work adequately, evaluate its methodological rigour, and reproduce the methods and results. Despite considerable levels of endorsement by funders and journals over the years, adherence to the guidelines has been inconsistent, and the anticipated improvements in the quality of reporting in animal research publications have not been achieved.

Here we introduce ARRIVE 2019. The guidelines have been updated and information reorganised to facilitate their use in practice. We used a Delphi exercise to prioritise the items and split the guidelines into two sets, the ARRIVE Essential 10, which constitute the minimum requirement, and the Recommended Set, which describes the research context. This division facilitates improved reporting of animal research by supporting a stepwise approach to implementation. This helps journal editors and reviewers to verify that the most important items are being reported in manuscripts. We have also developed the accompanying Explanation and Elaboration document that serves 1) to explain the rationale behind each item in the guidelines, 2) to clarify key concepts and 3) to provide illustrative examples. We aim through these changes to help ensure that researchers, reviewers and journal editors are better equipped to improve the rigour and transparency of the scientific process and thus reproducibility.
Original languageEnglish
Number of pages19
JournalbioRxiv
DOIs
Publication statusUnpublished - 15 Jul 2019

Structured keywords

  • SoE Centre for Multilevel Modelling

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