推广可重复使用和开放的方法和协议（PRO-MaP）可以提高生命科学领域的方法报告质量。
Promoting reusable and open methods and protocols (PRO-MaP) can improve methodological reporting in the life sciences.
机构信息
European Commission, Joint Research Centre (JRC), Ispra, Italy.
NC3Rs, London, United Kingdom.
出版信息
PLoS Biol. 2024 Sep 19;22(9):e3002835. doi: 10.1371/journal.pbio.3002835. eCollection 2024 Sep.
Abstract
Detailed method descriptions are essential for reproducibility, research evaluation, and effective data reuse. We summarize the key recommendations for life sciences researchers and research institutions described in the European Commission PRO-MaP report.
摘要
详细的方法描述对于可重复性、研究评估和有效数据重用至关重要。我们总结了欧洲委员会 PRO-MaP 报告中为生命科学研究人员和研究机构描述的关键建议。
相似文献
1
Promoting reusable and open methods and protocols (PRO-MaP) can improve methodological reporting in the life sciences.推广可重复使用和开放的方法和协议（PRO-MaP）可以提高生命科学领域的方法报告质量。
PLoS Biol. 2024 Sep 19;22(9):e3002835. doi: 10.1371/journal.pbio.3002835. eCollection 2024 Sep.
2
Blind analysis: Hide results to seek the truth.盲法分析：隐藏结果以探寻真相。
Nature. 2015 Oct 8;526(7572):187-9. doi: 10.1038/526187a.
3
Recommendations for open data science.开放数据科学的建议。
Gigascience. 2016 May 18;5:22. doi: 10.1186/s13742-016-0127-4. eCollection 2016.
4
Standards for reporting bioscience data: a forward look.生物科学数据报告标准：前瞻性展望。
Drug Discov Today. 2007 Jul;12(13-14):527-33. doi: 10.1016/j.drudis.2007.05.006. Epub 2007 Jun 27.
5
Hypothesis testing in clinical and basic science research.临床与基础科学研究中的假设检验。
Transfusion. 2010 Sep;50(9):1878-80. doi: 10.1111/j.1537-2995.2009.02536.x.
6
Risk of Bias in Reports of In Vivo Research: A Focus for Improvement.体内研究报告中的偏倚风险：改进重点
PLoS Biol. 2015 Oct 13;13(10):e1002273. doi: 10.1371/journal.pbio.1002273. eCollection 2015 Oct.
7
A primer on python for life science researchers.生命科学研究人员的Python入门指南。
PLoS Comput Biol. 2007 Nov;3(11):e199. doi: 10.1371/journal.pcbi.0030199.
8
Elegant Science.优雅的科学。
mBio. 2018 Feb 20;9(1):e00043-18. doi: 10.1128/mBio.00043-18.
9
Digital open science-Teaching digital tools for reproducible and transparent research.数字开放科学——教授可重复和透明研究的数字工具。
PLoS Biol. 2018 Jul 26;16(7):e2006022. doi: 10.1371/journal.pbio.2006022. eCollection 2018 Jul.
10
BioHackathon 2015: Semantics of data for life sciences and reproducible research.2015 年生物黑客马拉松：生命科学和可重复研究的数据语义学。
F1000Res. 2020 Feb 24;9:136. doi: 10.12688/f1000research.18236.1. eCollection 2020.
引用本文的文献
1
Data transparency and reproducibility in health research: bridging the gap for early-career researchers.健康研究中的数据透明度与可重复性：为早期职业研究人员弥合差距
Front Antibiot. 2025 Apr 29;4:1562002. doi: 10.3389/frabi.2025.1562002. eCollection 2025.
2
Recommendations on fit-for-purpose criteria to establish quality management for microphysiological systems and for monitoring their reproducibility.关于建立微生理系统质量管理和监测其重现性的适用标准的建议。
Stem Cell Reports. 2024 May 14;19(5):604-617. doi: 10.1016/j.stemcr.2024.03.009. Epub 2024 Apr 25.
3
A survey of researchers' methods sharing practices and priorities.研究者方法共享实践与优先事项调查。
PeerJ. 2024 Jan 3;12:e16731. doi: 10.7717/peerj.16731. eCollection 2024.
4
Constructive correction.建设性纠偏。
EMBO Rep. 2023 Oct 9;24(10):e58155. doi: 10.15252/embr.202358155. Epub 2023 Sep 21.
本文引用的文献
1
Shortcut citations in the methods section: Frequency, problems, and strategies for responsible reuse.方法部分的快捷引文：负责任地重复使用的频率、问题和策略。
PLoS Biol. 2024 Apr 2;22(4):e3002562. doi: 10.1371/journal.pbio.3002562. eCollection 2024 Apr.
2
Understanding the provenance and quality of methods is essential for responsible reuse of FAIR data.了解方法的来源和质量对于负责任地重用符合FAIR原则的数据至关重要。
Nat Med. 2024 May;30(5):1220-1221. doi: 10.1038/s41591-024-02879-x.
3
A survey of researchers' methods sharing practices and priorities.研究者方法共享实践与优先事项调查。
PeerJ. 2024 Jan 3;12:e16731. doi: 10.7717/peerj.16731. eCollection 2024.
4
Guidelines for Reporting Outcomes in Trial Reports: The CONSORT-Outcomes 2022 Extension.试验报告中结果报告指南：CONSORT-结果2022扩展版
JAMA. 2022 Dec 13;328(22):2252-2264. doi: 10.1001/jama.2022.21022.
5
Challenges for assessing replicability in preclinical cancer biology.评估临床前癌症生物学可重复性面临的挑战。
Elife. 2021 Dec 7;10:e67995. doi: 10.7554/eLife.67995.
6
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.
7
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research.ARRIVE 指南 2.0：报告动物研究的更新指南。
PLoS Biol. 2020 Jul 14;18(7):e3000410. doi: 10.1371/journal.pbio.3000410. eCollection 2020 Jul.
8
Protocols.io: Virtual Communities for Protocol Development and Discussion.Protocols.io：用于协议开发与讨论的虚拟社区。
PLoS Biol. 2016 Aug 22;14(8):e1002538. doi: 10.1371/journal.pbio.1002538. eCollection 2016 Aug.
9
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.
Zotero 插件