Advancing the international data science workforce through shared training and education

John D. Van Horn; Sumiko Abe; José Luis Ambite; Teresa K. Attwood; Niall Beard; Louisa J. Bellis; Avnish Bhattrai; Alex A. T. Bui; Gully A. P. C. Burns; Lily Fierro; Crystal Stewart; Sonika Tyagi

doi:https://doi.org/10.12688/f1000research.18357.1

doi.org/10.12688/f1000research.18357.1

Advancing the international data science workforce through shared training and education

,

,

..., Sonika Tyagi

14

F1000Research

Volume: 8, Pages: 251 - 251

Published: Mar 4, 2019

Abstract

The increasing richness and diversity of biomedical data types creates major organizational and analytical impediments to rapid translational impact in the context of training and education. As biomedical data-sets increase in size, variety and complexity, they challenge conventional methods for sharing, managing and analyzing those data. In May 2017, we convened a two-day meeting between the BD2K Training Coordinating Center (TCC),...

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Paper Details

Title

Advancing the international data science workforce through shared training and education

DOI

doi.org/10.12688/f1000research.18357.1

Published Date

Mar 4, 2019

Journal

F1000Research

Volume

8

Pages

251 - 251

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