Designing, conducting, and reporting reproducible animal experiments

Author:

Wilson Emma12ORCID,Ramage Fiona J3ORCID,Wever Kimberley E4ORCID,Sena Emily S1ORCID,Macleod Malcolm R1ORCID,Currie Gillian L1ORCID

Affiliation:

1. Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK

2. Simons Initiative for the Developing Brain, The University of Edinburgh, Edinburgh, UK

3. Department of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK

4. Department of Anesthesiology, Pain and Palliative Care, Radboud University Medical Center, Nijmegen, The Netherlands

Abstract

In biomedicine and many other fields, there are growing concerns around the reproducibility of research findings, with many researchers being unable to replicate their own or others’ results. This raises important questions as to the validity and usefulness of much published research. In this review, we aim to engage researchers in the issue of research reproducibility and equip them with the necessary tools to increase the reproducibility of their research. We first highlight the causes and potential impact of non-reproducible research and emphasise the benefits of working reproducibly for the researcher and broader research community. We address specific targets for improvement and steps that individual researchers can take to increase the reproducibility of their work. We next provide recommendations for improving the design and conduct of experiments, focusing on in vivo animal experiments. We describe common sources of poor internal validity of experiments and offer practical guidance for limiting these potential sources of bias at different experimental stages, as well as discussing other important considerations during experimental design. We provide a list of key resources available to researchers to improve experimental design, conduct, and reporting. We then discuss the importance of open research practices such as study preregistration and the use of preprints and describe recommendations around data management and sharing. Our review emphasises the importance of reproducible work and aims to empower every individual researcher to contribute to the reproducibility of research in their field.

Publisher

Bioscientifica

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

Reference47 articles.

1. 1,500 scientists lift the lid on reproducibility;Baker,2016

2. Effects of Galacto-Oligosaccharide Prebiotics in the Flinders Sensitive Line Rat Model of Depression on Behavioural Outcomes;Bannach-Brown,2022

3. How to decide your sample size when the power calculation is not straightforward. NC3Rs;Bate,2018

4. The design and statistical analysis of animal experiments;Bate,2014

5. Drug development: Raise standards for preclinical cancer research;Begley,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3