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Updated: Jan 9, 2026
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Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
Published on: August 4, 2023
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How does academia recognize the contribution of scientific data? Evidence from data contributors' authorship.
Jiaxue Liu1, Xiaowei Ma1, Hong Jiao1
1College of Information Management, Nanjing Agricultural University, Nanjing, 210095, P. R. China.
Scientific Data
|December 2, 2025
Summary
Dataset contributors are increasingly recognized, with 80% being first or corresponding authors in biomedical research papers. This highlights the growing academic value of scientific data and its quality.
Area of Science:
- Biomedical Research
- Data Science
- Bibliometrics
Background:
- Scientific data is crucial in modern biomedical research.
- Academic recognition for data contributions is not well understood.
- Open-access biomedical literature provides a valuable resource for analysis.
Purpose of the Study:
- To quantitatively assess the academic recognition of scientific data contributions.
- To analyze authorship patterns between dataset contributors and paper authors.
- To understand the impact of data quality on research credibility and influence.
Main Methods:
- Leveraged open-access literature from PubMed Central (PMC).
- Identified Gene Expression Omnibus (GEO) datasets and their associated original papers.
- Examined authorship relationships to quantify data contribution recognition.
Main Results:
- Approximately 80% of dataset contributors are first or corresponding authors.
- This proportion of recognized contributors is increasing over time.
- High-impact journals show greater investment in data quality, enhancing research outcomes.
Conclusions:
- Scientific data work is gaining significant academic recognition.
- The trend indicates a shift towards valuing data collection, processing, and analysis.
- Recognizing data contributions is vital for advancing biomedical research quality and credibility.
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