Garmire Lana X, Gliske Stephen, Nguyen Quynh C, Chen Jonathan H, Nemati Shamim, VAN Horn John D, Moore Jason H, Shreffler Carol, Dunn Michelle
2Epidemiology Program, University of Hawaii Cancer Center,Honolulu, HI, 96813, USA†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.,
Pac Symp Biocomput. 2017;22:640-645. doi: 10.1142/9789813207813_0059.
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.
随着新技术的蓬勃发展，生物医学科学已转变为数字化、数据密集型科学。大量数据需要进行分析和解读，这就需要一个完整的流程来培养下一代数据科学家。为满足这一需求，自2014年起实施了跨机构的“大数据到知识”（BD2K）计划，以补充美国国立卫生研究院（NIH）其他机构的工作。在本报告中，我们概述了BD2K K01指导科学家职业奖，该奖项已取得初步成功。我们阐述了代表性数据科学领域所需的具体培训，以便造就下一代生物医学数据科学家。
