The training of next generation data scientists in biomedicine

Lana X. Garmire; Stephen Gliske; Quynh C. Nguyen; Jonathan H. Chen; Shamim Nemati; John D. Van Horn; Jason H. Moore; Carol Shreffler; Michelle Dunn

doi:10.1142/9789813207813_0059

The training of next generation data scientists in biomedicine

Lana X. Garmire, Stephen Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

With the booming of new technologies, biomedical science has transformed into digitalized, data intensive science. Massive amount of data need to be analyzed and interpreted, demand a complete pipeline to train next generation data scientists. To meet this need, the transinstitutional Big Data to Knowledge (BD2K) Initiative has been implemented since 2014, complementing other NIH institutional efforts. In this report, we give an overview the BD2K K01 mentored scientist career awards, which have demonstrated early success. We address the specific trainings needed in representative data science areas, in order to make the next generation of data scientists in biomedicine.

Original language	English (US)
Pages (from-to)	640-645
Number of pages	6
Journal	Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Volume	0
Issue number	212679
DOIs	https://doi.org/10.1142/9789813207813_0059
State	Published - 2017
Externally published	Yes
Event	22nd Pacific Symposium on Biocomputing, PSB 2017 - Kohala Coast, United States Duration: Jan 4 2017 → Jan 8 2017

ASJC Scopus subject areas

Biomedical Engineering
Computational Theory and Mathematics

Access to Document

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The training of next generation data scientists in biomedicine. / Garmire, Lana X.; Gliske, Stephen; Nguyen, Quynh C.; Chen, Jonathan H.; Nemati, Shamim; Van Horn, John D.; Moore, Jason H.; Shreffler, Carol; Dunn, Michelle.

In: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Vol. 0, No. 212679, 2017, p. 640-645.

Research output: Contribution to journal › Conference article › peer-review

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