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

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.

journal_name

Sci Transl Med

authors

Aboab J,Celi LA,Charlton P,Feng M,Ghassemi M,Marshall DC,Mayaud L,Naumann T,McCague N,Paik KE,Pollard TJ,Resche-Rigon M,Salciccioli JD,Stone DJ

doi

10.1126/scitranslmed.aad9072

subject

Has Abstract

pub_date

2016-04-06 00:00:00

pages

333ps8

issue

333

eissn

1946-6234

issn

1946-6242

pii

8/333/333ps8

journal_volume

8

pub_type

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