Cited by 8Academic integrity and plagiarismAcademic Publishing and Open AccessResearch Data Management Practices

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Analysis of scientific paper retractions due to data problems: Revealing challenges and countermeasures in data management

Open access
Hu, Wanfei, Yan, Guiliang, Zhang, Jingyu, Chen, Zhenli, Qian, Qing, Wu, Sizhu·2026·Accountability in Research

Abstract

Background Scientific data, the cornerstone of scientific endeavors, face management challenges amid technological advances. While retractions are analyzed, a rigorous focus on data problems leading to them is missing.Methods This study collected 49,979 retraction records up to 17 December 2023. After screening 16,842 records were related to data problems and 19,656 were due to other reasons. Methods such as descriptive statistics, hypothesis testing, and the BERTopic (Bidirectional Encoder Representations from Transformers Topic Modelling) were applied to conduct a topic analysis of article titles.Result The results show that since 2000, retractions due to data problems have increased significantly (p < 0.001), with the percentage in 2023 exceeding 75%. Among 16,842 data-related retractions, 59.0% were in Basic Life Sciences and 40.2% in Health Sciences. Data problems involve accuracy, reliability, validity, and integrity. There are significant differences (p < 0.001) in subjects, journal quartiles, retraction intervals, and other characteristics between data-related and other retractions. Data-related retractions are more concentrated in high-impact journals (Q1 37.6% and Q2 43.0%).Conclusions Institutions, publishers, and journals should adopt image-screening tools, enforce data deposition, standardize retraction notices, provide ethics training, and strengthen peer review to address these data problems, guiding better data management and healthier scientific development.

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Crossref · 10.1080/08989621.2025.2531987

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Citations

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1 retracted

Show all 34 references

Research works printed but not linked: 5

  1. Clarivate. 2024. Journal Citation Reports. https://jcr.clarivate.com.
  2. Retraction Watch. 2014. “Leading Chemist Notches Two Retractions in One Journal Separated by 47 Years.” Retraction Watch. February 25. https://retractionwatch.com/2014/02/25/leading-chemist-notches-two-retractions-in-one-journal-separated-by-47-years/.
  3. SAGE. 2022. 2022 World Conference on Research Integrity: SAGE’s approach to research integrity and preserving trust. https://perspectivesblog.sagepub.com/blog/author-services/2022-world-conference-on-research-integrity-sages-approach-to-research-integrity-and-preserving-trust.
  4. Springer. 2024. Plagiarism Prevention with CrossCheck. https://www.springer.com/gp/authors-editors/editors/plagiarism-prevention-with-crosscheck/4238.
  5. 10.16418/j.issn.1000-3045.20230406002 · DOI

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Metadata

Authors
Hu, W., Yan, G., Zhang, J., Chen, Z., Qian, Q., & Wu, S.
Affiliations
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Corresponding author
  • Qian, Qing
  • Wu, Sizhu
Venue
Accountability in Research
Published
2025-07-20
Volume
33
Issue
4
Pages
2531987-2531987
ISSN
  • 0898-9621 (ISSN-L)
  • 1545-5815
OpenAlex
W4412507053
Cited by
7
References
34
Citations by year
2026: 6 · 2025: 1
FWCI
7.32
Type
journal article
Language
en
Open access
Locations
  • Accountability in Research (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Science and Technology Major Project for the Prevention and Treatment of Cancer, Cardiovascular, Respiratory, and Metabolic Diseases (2023ZD0509702)
  • Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences Program (2021-I2M-1-057)
Topics
  • Social Sciences › Education › Academic integrity and plagiarism
  • Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
data challenges, research data management, data integrity, data accuracy, data reliability, data validity, peer review, research ethics training, data deposition
MeSH terms
Data Management, Humans, Retraction of Publication as Topic, Reproducibility of Results, Scientific Misconduct

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