leipzig/awesome-reproducible-research：精选的可复现研究案例、项目、教程和媒体列表

项目介绍

leipzig/awesome-reproducible-research 是一个托管在 GitHub 上的开源项目，主要使用 Python 编写，目前获得 414 个 Star、66 次 Fork。

仓库全名: leipzig/awesome-reproducible-research

README 摘要

A curated list of reproducible research case studies, projects, tutorials, and media Awesome Reproducible Research Case studies Ad-hoc reproductions Theory papers Theses and dissertations Tool reviews Courses Development Resources Literature tools Scientific Data Management Systems Books Databases Data Repositories Exemplar Portals Runnable Papers Haibe-Kains lab Pachter lab Siepel lab Journals Ontologies Minimal…

完整内容见 GitHub 原始 README 或本页。

常见问题

awesome-reproducible-research 用什么语言开发？

主要使用 Python 编写，目前有 414 个 Star。

如何获取 awesome-reproducible-research 的源码？

可以直接克隆仓库：git clone https://github.com/leipzig/awesome-reproducible-research.git，默认分支为 master；安装与运行步骤见仓库 README。

awesome-reproducible-research 最近还在维护吗？

仓库最近一次更新为 3 天前，当前有 30 个未关闭 Issue；Star 数为 414，可作为社区活跃度的参考。

关于

GitHub 原始描述（英文）

A curated list of reproducible research case studies, projects, tutorials, and media

awesome awesome-list reproducibility reproducible-analysis reproducible-research reproducible-science reproducible-workflows

414 Stars
66 Forks
14 Watching

描述取自 GitHub 官方 API，保持仓库作者书写的原文。

简要分析

热度分

560

价值分

268

活跃状态

活跃

GitHub

语言占比

Python

Release

arr-201912052019年12月6日

贡献者

Awesome Reproducible Research

A curated list of reproducible research case studies, projects, tutorials, and media

Awesome Reproducible Research

Case studies

The term “case studies” is used here in a general sense to describe any study of reproducibility. A reproduction is an attempt to arrive at comparable results with identical data using computational methods described in a paper. A refactor involves refactoring existing code into frameworks and other reproducibility best practices while preserving the original data. A replication involves generating new data and applying existing methods to achieve comparable results. A robustness test applies various protocols, workflows, statistical models or parameters to a given data set to study their effect on results, either as a follow-up to an existing study or as a “bake-off”. A census is a high-level tabulation conducted by a third party. A survey is a questionnaire sent to practitioners. A case narrative is an in-depth first-person account. An independent discussion utilizes a secondary independent author to interpret the results of a study as a means to improve inferential reproducibility.

Study	Field	Approach	Size
Glasziou et al 2008	Medicine	Census	80 studies
Baggerly & Coombes 2009	Cancer biology	Refactor	8 studies
Hothorn et al. 2009	Biostatistics	Census	56 studies
Ioannidis et al 2009	Genetics	Reproduction	18 studies
Anda et al 2009	Software engineering	Replication	4 companies
Vandewalle et al 2009	Signal processing	Census	134 papers
Prinz 2011	Biomedical sciences	Survey	23 PIs
Horthorn & Leisch 2011	Bioinformatics	Census	100 studies
Begley & Ellis 2012	Cancer biology	Replication	53 studies
Collberg et al 2014 Collberg & Proebsting 2016	Computer science	Census	613 papers
OSC 2015	Psychology	Replication	100 studies
Bandrowski et al 2015	Biomedical sciences	Census	100 papers
Patel et al 2015	Epidemiology	Robustness test	417 variables
Chang et al 2015	Economics	Reproduction	67 papers
Iqbal et al 2016	Biomedical sciences	Census	441 papers
Baker 2016	Science	Survey	1,576 researchers
Névéol et al 2016	NLP	Replication	3 studies
Reproducibility Project 2017	Cancer biology	Replication	9 studies
Vasilevsky et al 2017	Biomedical sciences	Census	318 journals
Kitzes et al 2017	Science	Case narrative	31 PIs
Barone et al 2017	Biological sciences	Survey	704 PIs
Kim & Dumas 2017	Bioinformatics	Refactor	1 study
Camerer 2017	Economics	Replication	18 studies
Olorisade 2017	Machine learning	Census	30 studies
Strupler & Wilkinson 2017	Archaeology	Case narrative	1 survey
Danchev et al 2017	Comparative toxicogenomics	Census	51,292 claims in 3,363 papers
Kjensmo & Gundersen 2018	Artificial intelligence	Census	400 papers
Gertler et al 2018	Economics	Census	203 papers
Stodden et al 2018	Computational science	Reproduction	204 papers, 180 authors
Buttliere & Wicherts 2018	Psychology	Survey	2,056 psychologists
Camerer et al 2018	Social sciences	Replication	21 papers
Silberzahn et al 2018	Psychology	Robustness test	One data set, 29 analyst teams
Boulesteix et al 2018	Medicine and health sciences	Census	30 papers
Eaton et al 2018	Microbiome immuno oncology	Replication	1 paper
Vaquero-Garcia et al 2018	Bioinformatics	Refactor and test of robustness	1 paper
Wallach et al 2018	Biomedical Sciences	Census	149 papers
Miller et al 2018	Bioinformatics	Synthetic replication & refactor	1 paper
Konkol et al 2018	Geosciences	Survey, Reproduction	146 scientists, 41 papers
Rahtz 2018	Reinforcement Learning	Reproduction, case narrative	1 paper
Stodden et al 2018	Computational physics	Census	306 papers
AlNoamany & Borghi 2018	Science & Engineering	Survey	215 participants
Li et al 2018	Nephrology	Robustness test	1 paper
Chen 2018	Social sciences & other	Census	810 Dataverse studies
Trisovic et al 2021	Social sciences & other	Census, Survey	2109 replication datasets
Nüst et al 2018	GIScience/Geoinformatics	Census, Survey	32 papers, 22 participants
Raman et al 2018	Genomics	Robustness test	8 studies
Stagge et al 2019	Geosciences	Survey	360 papers
Bizzego et al 2019	Deep learning	Robustness test	1 analysis
Madduri et al 2019	Genomics	Case narrative	1 analysis
Mammoliti et al 2019	Pharmacogenomics	Case narrative	2 analyses
Allen & Mehler 2019	Biomedical sciences and Psychology	Census	127 registered reports
Pimentel et al 2019	All	Census	1,159,166 Jupyter notebooks
Fergusson et al 2019	Virology	Census	236 papers
Vlisides et al 2019 Sieber et al 2019	Anaesthesia	Independent discussion	1 study
Bakker et al 2019	Psychology	Replication	1 paper
Niepel et al 2019	Cell pharmacology	Robustness test	5 labs
Dacrema et al 2019	Machine learning	Reproduction	18 conference papers
Eran et al 2019	Experimental archaeology	Replication	1 theory
Rauh et al 2019	Neurology	Census	202 papers
Sætrevik & Sjåstad 2019	Psychology	Replication	2 experiments
Feng et al. 2019	Ecology and Evolution	Census	163 papers
Botvinik-Nezer et al. 2019	Neuroimaging	Robustness test	1 data set, 70 teams
Klein et al. 2019	Psychology	Replication	1 experiment, 21 labs, 2,220 participants
Obels et al. 2019	Psychology	Census	62 papers
Wayant et al 2019	Oncology	Census	154 meta-analyses
Simoneau et al. 2020	Bioinformatics	Robustness test	1 data set
Miyakawa 2020	Neurobiology	Census	41 papers
Thelwall et al 2020	Genetics	Census	1799 papers
Maassen et al 2020	Psychology	Reproduction	33 meta-analyses
Riedel et al 2020	Biomedical science	Census	792 papers
Culina et al 2020	Ecology	Census	346 papers
Clementi & Barba 2020	Physics	Replication	2 papers
Kemper et al 2020	Reproductive endocrinology	Census	222 papers
Marqués et al 2020	Biomedical sciences	Census	240 papers
Janssen et al 2020	Environmental Modelling	Census	7500 papers
Anderson et al 2020	Cardiology	Census	532 papers
Ostermann et al 2021	GIS	Census	75 papers
Samota & Davey 2020	Life Sciences	Survey	251 researchers
Bedford & Tzovaras 2020	Genetics	Robustness test	1 paper
Krassowski et al 2020 (repo)	Life Sciences	Census	3377 articles
Boudreau et al 2021	Computational Biology	Census	622 papers
Heumos et al 2021	Computational Biology	Robustness test	6 studies
Hrynaszkiewicz et al 2021	Computational Biology	Survey	214 researchers
Päll et al 2021	Differential expression	Census	2109 GEO submissions
Wijesooriya et al 2021	Computational biology	Census	186 papers
Weisberg et al 2021	Psychology	Robustness test	1 study
Vanderaa & Gatto 2021	Proteomics	Refactor	1 analysis
Serghiou et al 2021	Biomedical sciences	Census	2.75 million articles
Breznau et al 2021	Social science	Robustness test	73 teams
Roberts et al 2021	Radiology	Census	62 studies
McDermott et al 2021	Clinical ML	Census	511 papers
Tedersoo et al 2021	9 Fields	Census	875 articles
Gabelica et al 2022	Life Sciences	Census	3556 papers
Samuel & Mietchen 2022	Biomedical Sciences	Census	9625 Jupyter notebooks
Zaorsky et al 2022	Radiation oncology	Robustness test	300k models
Kohrt et al 2022	Behavioral sciences	Refactor	One study
Hamilton et al 2022	Cancer biology	Census	306 papers
Motoki & Iseki 2022 web	Marketing	Replication	10 papers
Cobey et al 2023	Multidisciplinary	Scoping review	47 papers, 177 studies
Kapoor & Narayanan 2023	Machine Learning	Census	17 studies
Gihawi et al 2023	Bioinformatics	Refactor	1 paper
Gould et al 2023	Ecology	Robustness test	2 datasets, 174 teams
Protzko et al 2023	Psychology	Replication	16 findings
Bochynska et al 2023	Linguistics	Census	600 articles
Korbmacher et al 2024	Psychology	Survey	1,200 researchers
Serra-Garcia & Gneezy 2024	Economics	Census	1,500 studies
Kambouris et al 2024	Ecology	Census	177 papers
Standvoss et al 2024	Biology	Census	750 papers
Brodeur et al 2024	Economics	Robustness test	110 papers
Hughes-Noehrer et al 2024	Research	Survey	2500 researchers
Ioanas et al 2024	Neuroimaging	Refactor	1 study
DeVito et al 2025	Research Methodology	Systematic Review	156 studies
Heckerman et al 2025	Cardiovascular Science	Census	639 papers
The Brazilian Reproducibility Initiative et al 2025	Molecular biology	Replication	56 experiments, 143 replications, 56 labs
Muralidharan, Romero, & Wüthrich 2025	Economics	Robustness test	27 papers
Baykal et al 2025	Bioinformatics	Robustness test	8 tools
Saju et al 2025	Statistics	Census	264 R projects
Murphy et al 2025	Sports Science	Census	25 studies
Machine Learning Reproducibility Challenge 2020-2025	Machine Learning	Reproduction	2,000+ papers
Cobey et al 2024	Biomedical sciences	Survey	1630 participants
Yücel et al 2025	Brain imaging	Robustness test	38 teams
Konkol et al 2025

README 内容过长，已截取前 64 KB。完整内容请前往 GitHub 仓库查看。

暂无评论

awesome-reproducible-research