Skip to main content Skip to secondary navigation


Main content start

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