A “datathon” model to support cross-disciplinary collaboration

摘要: In recent years, there has been a growing focus on the unreliability of published biomedical and clinical research. To introduce effective new scientific contributors to culture health care, we propose "datathon" or "hackathon" model in which participants with disparate, but potentially synergistic complementary, knowledge skills effectively combine address questions faced by clinicians. The continuous peer review intrinsically provided follow-up datathons, take up prior uncompleted projects, might produce more reliable research, either providing different perspective study design methodology replication analyses.