ENHANCING DIVERSITY IN BIOMEDEDICAL DATA SCIENCE
ENHANCING DIVERSITY IN BIOMEDEDICAL DATA SCIENCE
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DOI：
10.18865/ed.27.2.107
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发表时间：
2017-03-01
影响因子：
3.2
通讯作者：
Zhang, Xinzhi
中科院分区：
文献类型：
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作者：
Canner, Judith E.;McEligot, Archana J.;Zhang, Xinzhi
在教育程度上，未被充分代表的少数民族与白人和亚洲人之间的差距仍然很大。这种差距对劳动力多样性和纳入交叉生物医学数据科学(BDS)研究产生了重大影响，这为解决健康差距带来了巨大的机遇和重大挑战。本文简要介绍了四所大学新成立的国家卫生研究院大数据到知识(BD2K)多样性倡议：加州州立大学蒙特利湾分校、菲斯克大学、波多黎各大学里奥皮德拉斯校区和加州州立大学富勒顿。我们强调BDS职业生涯中遇到的三个主要障碍(即准备、接触和获取资源)，以及可能的解决方案的先锋计划和建议(即早期和积极的指导、丰富的研究经验和数据科学课程开发)。BDS的多样性差异表明，教育工作者、研究人员和资助机构需要支持基于证据的做法，这将导致BDS劳动力的多样化。
The gap in educational attainment separating underrepresented minorities from Whites and Asians remains wide. Such a gap has significant impact on workforce diversity and inclusion among cross-cutting Biomedical Data Science (BDS) research, which presents great opportunities as well as major challenges for addressing health disparities. This article provides a brief description of the newly established National Institutes of Health Big Data to Knowledge (BD2K) diversity initiatives at four universities: California State University, Monterey Bay; Fisk University; University of Puerto Rico, Rio Piedras Campus; and California State University, Fullerton. We emphasize three main barriers to BDS careers (ie, preparation, exposure, and access to resources) experienced among those pioneer programs and recommendations for possible solutions (ie, early and proactive mentoring, enriched research experience, and data science curriculum development). The diversity disparities in BDS demonstrate the need for educators, researchers, and funding agencies to support evidence-based practices that will lead to the diversification of the BDS workforce.