LORIER WEBINAR RITA BANZI

Evidence-based solutions to improve reproducibility in research may help various stakeholders, such as researchers, better plan their studies and reviewers assess completed studies. To identify practices that, applied to scientific research projects, are thought to increase reproducibility of methods and results, we invited a multidisciplinary group of experts in Delphi study. During the webinar, we will present the core items for reproducibility that were prioritized, e.g., availability of data management and statistical plans, estimation of sample size, details on statistical analysis, software and code, findability and availability of datasets and codes. We will also present upcoming projects to test the effectiveness of these reproducibility checks and pilot them across scientific fields. We welcome fresh ideas and support from participants on how to promote their adoption and refinement to strengthen research integrity and reliability.