A "datathon" model to support cross-disciplinary collaboration

作者:Aboab Jerome; Celi Leo Anthony; Charlton Peter; Feng Mengling; Ghassemi Mohammad; Marshall Dominic C*; Mayaud Louis; Naumann Tristan; McCague Ned; Paik Kenneth E; Pollard Tom J; Resche Rigon Matthieu; Salciccioli Justin D; Stone David J
来源:Science Translational Medicine, 2016, 8(333): 333ps8.
DOI:10.1126/scitranslmed.aad9072

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 the culture of health care, we propose a "datathon" or "hackathon" model in which participants with disparate, but potentially synergistic and complementary, knowledge and skills effectively combine to address questions faced by clinicians. The continuous peer review intrinsically provided by follow-up datathons, which take up prior uncompleted projects, might produce more reliable research, either by providing a different perspective on the study design and methodology or by replication of prior analyses.

  • 出版日期2016-4-6