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Overflow in science and its implications for trust
Sabina Siebert1, Laura M Machesky2, Robert H Insall2
1Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom.
Elife
|September 15, 2015
Summary
Senior biomedical researchers report declining trust due to data overflow, where excessive new data overwhelms scientific processing capabilities. This impacts the integrity of modern biomedical science research.
Area of Science:
- Biomedical Science
- Scientific Research Integrity
Background:
- Growing concerns regarding scientific misconduct and data irreproducibility.
- Perceived decline in trust within the scientific community.
Purpose of the Study:
- To explore the reasons behind the decline in trust in biomedical science.
- To investigate the impact of data volume on scientific integrity.
Main Methods:
- Interviews with senior biomedical researchers.
- Qualitative analysis of expert opinions.
Main Results:
- A key factor identified is 'data overflow', where the sheer quantity of new data exceeds the capacity for appropriate processing.
- This overflow phenomenon contributes significantly to the erosion of trust in scientific findings.
Conclusions:
- The increasing volume of scientific data poses a challenge to maintaining research integrity.
- Addressing data overflow is crucial for restoring and upholding trust in the biomedical research enterprise.
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