Diversifying the genomic data science research community.

Diversifying the genomic data science research community.
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DOI:
10.1101/gr.276496.121
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发表时间:
2022-07-27
期刊:
影响因子:
7
通讯作者:
Xie, Xianfa
Xie, Xianfa
中科院分区:
生物学1区
文献类型:
--
作者:
Alcazar, Rosa;Alvarez, Maria;Arnold, Rachel;Ayalew, Mentewab;Best, Lyle G.;Campbell, Michael C.;Chowdhury, Kamal;Cox, Katherine E. L.;Daulton, Christina;Deng, Youping;Easter, Carla;Fuller, Karla;Hakim, Shazia Tabassum;Hoffman, Ava M.;Kucher, Natalie;Lee, Andrew;Lee, Joslynn;Leek, Jeffrey T.;Meller, Robert;Mendez, Loyda B.;Mendez-Gonzalez, Miguel P.;Mosher, Stephen;Nishiguchi, Michele;Pratap, Siddharth;Rolle, Tiffany;Roy, Sourav;Saidi, Rachel;Schatz, Michael C.;Sen, Shurjo K.;Sniezek, James;Martinez, Edu Suarez;Tan, Frederick J.;Vessio, Jennifer;Watson, Karriem;Westbroek, Wendy;Wilcox, Joseph;Wright, Carrie;Xie, Xianfa

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在过去的20年里,基因组数据收集的爆炸式增长和云计算革命使得任何拥有网络浏览器和互联网连接的人都可以访问计算和数据科学研究。然而,资源有限的机构的学生很少接触到导致基因组数据科学职业生涯的课程或专业发展机会。为了扩大对基因组学研究的参与,科学界需要在服务不足的机构(UIs)的地方教育和研究中支持这些计划。这些包括社区学院,历史上的黑人学院和大学,西班牙裔服务机构,以及支持美国种族,种族和社会经济代表性不足的学生的部落学院和大学。我们已经形成了基因组数据科学社区网络,以支持学生,教师和他们的网络,以确定机会和扩大访问基因组数据科学。这些机会包括扩大对基础设施和数据的访问,提供UI教师发展机会,加强教师之间的合作,承认UI教学和研究的卓越性,培养学生的意识,开发模块化和开源资源,扩大基于课程的本科生研究经验(CURES),建立课程,支持学生的专业发展和研究,通过资助项目和合作者支持消除财务障碍。
Over the past 20 years, the explosion of genomic data collection and the cloud computing revolution have made computational and data science research accessible to anyone with a web browser and an internet connection. However, students at institutions with limited resources have received relatively little exposure to curricula or professional development opportunities that lead to careers in genomic data science. To broaden participation in genomics research, the scientific community needs to support these programs in local education and research at underserved institutions (UIs). These include community colleges, historically Black colleges and universities, Hispanic-serving institutions, and tribal colleges and universities that support ethnically, racially, and socioeconomically underrepresented students in the United States. We have formed the Genomic Data Science Community Network to support students, faculty, and their networks to identify opportunities and broaden access to genomic data science. These opportunities include expanding access to infrastructure and data, providing UI faculty development opportunities, strengthening collaborations among faculty, recognizing UI teaching and research excellence, fostering student awareness, developing modular and open-source resources, expanding course-based undergraduate research experiences (CUREs), building curriculum, supporting student professional development and research, and removing financial barriers through funding programs and collaborator support.
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