Questionable practices in data and code sharing policy in high-profile medical journal and research Article Swipe
Wei Li
,
Xuerong Liu
,
Qianyu Zhang
,
Li Ping Shi
,
Jingxuan Zhang
,
Xiaolin Zhang
,
Jia Luan
,
Yue Li
,
Ting Xu
,
Rong Zhang
,
Xiaodi Han
,
Jingyu Lei
,
Xueqian Wang
,
Yaozhi Wang
,
Hai Lan
,
Xiaohan Chen
,
Yi Wu
,
Yan Wu
,
Lei Xia
,
Haiping Liao
,
Chang Shen
,
Yang Yu
,
Xinyu Xu
,
Chao Deng
,
Pei Liu
,
Zhengzhi Feng
,
Chunji Huang
,
Zhiyi Chen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.08.29.24312818
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.08.29.24312818
Background The spurious and unavailable data/code sharing actions are crashing open medical sciences. In this study, we aimed to illustrate how high-profile medical journals are practically carried out their sharing policies and what questionable practices regarding data/code sharing are conducted by authors. Methods In this study, we appraised the policy on data/code availability of high-profile medical journals ranked at Q1 according to Clarivate Journal Citation Report (JCR 2021). Furthermore, we recruited post-publications published by four leading medical journals (i.e., The BMJ, JAMA, NEJM and The Lancet) from the issuing of data/code availability policy to December 2022 for the questionable practices in data/code sharing. The appraisal of papers was conducted by the Data/code Availability Statement Practice Evaluation Tool (DANCE), developed by systematically integrating mainstreaming open data/code guidelines. Findings We found that less than one-tenth journals (9.1%) mandated authors to share data/code, with an available statement. Among these journals, 70.6% (61.2%) did not consider censoring (restricting) spurious/invalid data/code sharing in publications. Furthermore, though journal impact factor could predict policy stringency on “offering availability statements” ( p < .001), it failed to predict ones in “sharing data/code” ( p = .73). For publications, even in leading medical journals (i.e., The BMJ, JAMA, NEJM and The Lancet), only 0.5% of the papers (16/3,191) fully complied with their public sharing statements for reaching reproducibility. Lack of availability statement, declining data/code sharing without reasons, and invalid repositories were leading questionable practices conducted by authors. Interpretation We clarified specific questionable actions of implementing and practicing the sharing policy both in journal and papers, which should be addressed not only by the supportive publication ecosystem but also by crediting authors for taking responsibility and maintaining scientific integrity in data/code sharing. Funding No funding.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.08.29.24312818
- https://www.medrxiv.org/content/medrxiv/early/2024/08/30/2024.08.29.24312818.full.pdf
- OA Status
- green
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402030168
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4402030168Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2024.08.29.24312818Digital Object Identifier
- Title
-
Questionable practices in data and code sharing policy in high-profile medical journal and researchWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-30Full publication date if available
- Authors
-
Wei Li, Xuerong Liu, Qianyu Zhang, Li Ping Shi, Jingxuan Zhang, Xiaolin Zhang, Jia Luan, Yue Li, Ting Xu, Rong Zhang, Xiaodi Han, Jingyu Lei, Xueqian Wang, Yaozhi Wang, Hai Lan, Xiaohan Chen, Yi Wu, Yan Wu, Lei Xia, Haiping Liao, Chang Shen, Yang Yu, Xinyu Xu, Chao Deng, Pei Liu, Zhengzhi Feng, Chunji Huang, Zhiyi ChenList of authors in order
- Landing page
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https://doi.org/10.1101/2024.08.29.24312818Publisher landing page
- PDF URL
-
https://www.medrxiv.org/content/medrxiv/early/2024/08/30/2024.08.29.24312818.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2024/08/30/2024.08.29.24312818.full.pdfDirect OA link when available
- Concepts
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Data sharing, Code (set theory), Medical research, Computer science, Research data, Data science, Political science, Programming language, Medicine, Alternative medicine, Pathology, Data curation, Set (abstract data type)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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