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评估SciScore在支持科研可重复性方面的有效性。

Assessing the Effectiveness of SciScore in Supporting the Reproducibility of Scientific Research.

作者信息

Roelandse Martijn, Ozyurt I Burak, Evanko Daniel, Bandrowski Anita

机构信息

martijnroelandse.dev, Ouderkerk aan de Amstel, The Netherlands.

SciCrunch Inc., San Diego, CA.

出版信息

Sci Ed. 2023 Jun;46(2):46-52. doi: 10.36591/se-d-4602-15. Epub 2023 Jun 20.

DOI:10.36591/se-d-4602-15
PMID:40791864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12338114/
Abstract

It is critical for researchers and grantees alike to adhere to rigor and transparency criteria to ensure their contributions to scientific research are sufficiently transparent so they can be replicated and eventually reproduced. SciScore evaluates scientific manuscripts for compliance with consensus granting agency and journal recommendations designed to address different aspects of rigor and transparency in the published literature (e.g., MDAR [Materials Design Analysis Reporting], ARRIVE [Animal Research: Reporting In Vivo Experiments], CONSORT [Consolidated Standards of Reporting Trials], RRID [Research Resource Identification] standards). SciScore has been implemented by several society publishers in different ways, with one allowing authors to run the tool as often as they wish, and another having editors verify manuscripts using the report provided by the tool. Results show that the use of the tool led to an increase in the average SciScore over time or via the revision process. The use of the tool also resulted in an increase in the number of manuscripts with RRIDs, a fairly easy transparency criterion to check. We conclude that the use of the tool is effective in improving some aspects of rigor of research articles.

摘要

对于研究人员和受资助者而言,坚持严谨性和透明度标准至关重要,以确保他们对科学研究的贡献足够透明,从而能够被复制并最终重现。SciScore评估科学手稿是否符合共识资助机构和期刊的建议,这些建议旨在解决已发表文献中严谨性和透明度的不同方面(例如,MDAR[材料设计分析报告]、ARRIVE[动物研究:体内实验报告]、CONSORT[报告试验的统一标准]、RRID[研究资源识别]标准)。SciScore已被几家学会出版商以不同方式实施,一种方式是允许作者根据自己的意愿多次运行该工具,另一种方式是让编辑使用该工具提供的报告来核实手稿。结果表明,随着时间的推移或通过修订过程,使用该工具导致平均SciScore有所提高。使用该工具还使带有RRID的手稿数量增加,RRID是一个相当容易核查的透明度标准。我们得出结论,使用该工具在提高研究文章严谨性的某些方面是有效的。

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本文引用的文献

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J Med Internet Res. 2022 Jun 27;24(6):e37324. doi: 10.2196/37324.
2
A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature?GigaScience 十周年:从科学文献中的五十万个 RRIDs 中能学到什么?
Gigascience. 2022 Jun 14;11. doi: 10.1093/gigascience/giac058.
3
Data sharing practices and data availability upon request differ across scientific disciplines.数据共享实践和根据请求提供数据的可用性因科学学科而异。
Sci Data. 2021 Jul 27;8(1):192. doi: 10.1038/s41597-021-00981-0.
4
The MDAR (Materials Design Analysis Reporting) Framework for transparent reporting in the life sciences.用于生命科学透明报告的MDAR(材料设计分析报告)框架。
Proc Natl Acad Sci U S A. 2021 Apr 27;118(17). doi: 10.1073/pnas.2103238118.
5
The Rigor and Transparency Index Quality Metric for Assessing Biological and Medical Science Methods.用于评估生物医学科学方法的严谨性与透明度指数质量指标
iScience. 2020 Oct 20;23(11):101698. doi: 10.1016/j.isci.2020.101698. eCollection 2020 Nov 20.
6
Clarification of the basis for the selection of requirements for publication in the British Journal of Pharmacology.《英国药理学杂志》论文发表要求选择依据的阐释
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The preregistration revolution.预注册革命。
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Experimental design and analysis and their reporting II: updated and simplified guidance for authors and peer reviewers.实验设计与分析及其报告(二):给作者和同行评审者的更新且简化的指南
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10
RRIDs: A Simple Step toward Improving Reproducibility through Rigor and Transparency of Experimental Methods.研究资源识别号(RRIDs):通过实验方法的严谨性和透明度迈向提高可重复性的简单一步。
Neuron. 2016 May 4;90(3):434-6. doi: 10.1016/j.neuron.2016.04.030.