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Sci Transl Med. 2016 Apr 6;8(333):333ps8. doi: 10.1126/scitranslmed.aad9072.

A "datathon" model to support cross-disciplinary collaboration.

Author information

1
Massachusetts Institute of Technology (MIT) Critical Data, MIT, Cambridge, MA 02139, USA.
2
Massachusetts Institute of Technology (MIT) Critical Data, MIT, Cambridge, MA 02139, USA. dominic.marshall12@imperial.ac.uk.
3
Departments of Anesthesiology and Neurosurgery, University of Virginia School of Medicine, Charlottesville, VA 22908, USA. Center for Wireless Health, University of Virginia School of Engineering and Applied Science, Charlottesville, VA 22904, USA.

Abstract

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.

PMID:
27053770
PMCID:
PMC5679209
DOI:
10.1126/scitranslmed.aad9072
[Indexed for MEDLINE]
Free PMC Article

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