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Reproducibility of research and preclinical validation: problems and solutions
Lajos Pusztai1, Christos Hatzis, Fabrice Andre
1Section of Medical Oncology, Yale Cancer Center, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520-8032, USA.
Nature Reviews. Clinical Oncology
|October 2, 2013
Summary
Scientific reproducibility is declining due to technical issues and cognitive biases. Improving data standards, publishing negative results, and reforming funding systems can enhance research reliability.
Area of Science:
- Biomedical Research
- Cancer Research
Background:
- Reproducibility crisis in scientific literature and clinical trial failures.
- Technical challenges in experimental results, especially in cancer research.
Approach:
- Discussing unrecognized variables, poor documentation, selective reporting, and data misinterpretation.
- Addressing cognitive biases and academic incentive system flaws.
Key Points:
- Unrecognized variables, poor documentation, selective reporting, and misinterpretation of noise.
- Cognitive biases and academic incentives contribute to publishing immature results.
- Need for better data presentation standards and publication of negative results.
Conclusions:
- Implementing changes in grant submission and funding systems can improve research reproducibility.
- Recognizing and addressing technical and systemic factors is crucial for scientific integrity.
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