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 journalConference articlepeer-review

6 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 languageEnglish (US)
Pages (from-to)640-645
Number of pages6
JournalPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Volume0
Issue number212679
DOIs
StatePublished - 2017
Externally publishedYes
Event22nd Pacific Symposium on Biocomputing, PSB 2017 - Kohala Coast, United States
Duration: Jan 4 2017Jan 8 2017

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computational Theory and Mathematics

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