Reproducibility

Meta-research and Innovation in how research is verified.

Meta-Research in the area of Reproducibility aims at deepening our understanding of what is and what determines the reproducibility of a study and scientific self-correction. Studies in this area may include:

• Directly assessing the reproducibility and replicability of results
• Identifying factors predicting the reproducibility of a study, including the prevalence of questionable scientific practices
• Measuring prevalence, compliance and effectiveness of transparency policies and practices for sharing data and methods
• Assessing the prevalence, causes and consequences of corrections and retractions of the scientific literature

Innovation seeks to improve replication and self-correction and to increase the reliability of published results, for example by:

• Developing new theoretical and empirical methods to estimate the false-positive rate and the reproducibility of findings
• Improving the reproducibility of research, for example by developing new policies and practical tools to share data and methods
• Bolstering scientific self correction through better ways to communicate or recognize retractions or corrections