Name
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 trans-institutional 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1142/9789813207813_0059 | Biocomputing Series |
Field | DocType | Volume |
Data science,Biology,Biomedicine,Genetics | Conference | 22 |
ISSN | Citations | PageRank |
2335-6936 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lana X. Garmire | 1 | 0 | 0.34 |
| Stephen V. Gliske | 2 | 0 | 0.34 |
| Quynh C. Nguyen | 3 | 0 | 0.34 |
| Jonathan H. Chen | 4 | 99 | 9.17 |
| Shamim Nemati | 5 | 71 | 17.97 |
| John D Van Horn | 6 | 316 | 28.50 |
| Jason H. Moore | 7 | 1223 | 159.43 |
| Carol Shreffler | 8 | 0 | 0.34 |
| Michelle Dunn | 9 | 0 | 0.34 |