Industrial Biotechnology Centre and School of Biosciences, University of Kent, Canterbury, CT2 7NJ, UK.
School of Social Policy, Sociology and Social Research, University of Kent, Canterbury, CT2 7NJ, UK.
Gigascience. 2019 May 1;8(5). doi: 10.1093/gigascience/giz017.
A lack of data reproducibility ("reproducibility crisis") has been extensively debated across many academic disciplines.
Although a reproducibility crisis is widely perceived, conclusive data on the scale of the problem and the underlying reasons are largely lacking. The debate is primarily focused on methodological issues. However, examples such as the use of misidentified cell lines illustrate that the availability of reliable methods does not guarantee good practice. Moreover, research is often characterized by a lack of established methods. Despite the crucial importance of researcher conduct, research and conclusive data on the determinants of researcher behavior are widely missing.
Meta-research that establishes an understanding of the factors that determine researcher behavior is urgently needed. This knowledge can then be used to implement and iteratively improve measures that incentivize researchers to apply the highest standards, resulting in high-quality data.
缺乏数据可重复性(“可重复性危机”)已在许多学术领域中广泛讨论。
尽管人们普遍认为存在可重复性危机,但关于问题的规模和根本原因的明确数据还很缺乏。争论主要集中在方法问题上。但是,例如使用身份不明的细胞系的例子表明,即使有可靠的方法,也不能保证良好的实践。此外,研究往往缺乏既定的方法。尽管研究人员的行为至关重要,但关于决定研究人员行为的因素的研究和确凿数据却广泛缺失。
迫切需要进行元研究,以了解决定研究人员行为的因素。然后,可以利用这些知识来实施和迭代改进措施,激励研究人员应用最高标准,从而产生高质量的数据。