TY - JOUR
T1 - The training of next generation data scientists in biomedicine
AU - Garmire, Lana X.
AU - Gliske, Stephen
AU - Nguyen, Quynh C.
AU - Chen, Jonathan H.
AU - Nemati, Shamim
AU - Van Horn, John D.
AU - Moore, Jason H.
AU - Shreffler, Carol
AU - Dunn, Michelle
N1 - Funding Information:
This work is supported by BD2K K01 program Work partially supported by grant Work partially supported by grant NIH Big Data 2 Knowledge Award K01ES025434 (to LXG), K01ES026839 (to SG), K01ES025433 (to QCN), K01ES026837 (to JHC), K01ES025445 (to SN), U24 ES026465 (to JDV), by the National Institute of Environmental Health Sciences through funds provided by the trans-NIH Big Data to Knowledge (BD2K) initiative, work is also partially supported by P20 COBRE GM103457 awarded by NIH/NIGMS, NICHD R01 HD084633, NLM R01 LM012373, and Hawaii Community Foundation Medical Research Grant 14ADVC-64566.
Funding Information:
2†3†4†5†6†7† Work partially supported by grant NIH Big Data 2 Knowledge Award K01ES025434 (to LXG), K01ES026839 (to SG), K01ES025433 (to QCN), K01ES026837 (to JHC), K01ES025445 (to SN), U24 ES026465 (to JDV), by the National Institute of Environmental Health Sciences through funds provided by the trans-‐NIH Big Data to Knowledge (BD2K) initiative,
Funding Information:
1* This work is supported by BD2K K01 program
Publisher Copyright:
© 2017, World Scientific Publishing Co. Pte. Ltd. All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85015585408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015585408&partnerID=8YFLogxK
U2 - 10.1142/9789813207813_0059
DO - 10.1142/9789813207813_0059
M3 - Conference article
C2 - 27897014
AN - SCOPUS:85015585408
SN - 2335-6936
VL - 0
SP - 640
EP - 645
JO - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
JF - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
T2 - 22nd Pacific Symposium on Biocomputing, PSB 2017
Y2 - 4 January 2017 through 8 January 2017
ER -