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Diversifying the genomic data science research community

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...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341509/
https://www.ncbi.nlm.nih.gov/pubmed/35858750
http://dx.doi.org/10.1101/gr.276496.121
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description 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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spelling pubmed-93415092022-08-16 Diversifying the genomic data science research community Genome Res Perspective 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. Cold Spring Harbor Laboratory Press 2022-07 /pmc/articles/PMC9341509/ /pubmed/35858750 http://dx.doi.org/10.1101/gr.276496.121 Text en © 2022 The GDSCN; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by/4.0/This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Diversifying the genomic data science research community
title Diversifying the genomic data science research community
title_full Diversifying the genomic data science research community
title_fullStr Diversifying the genomic data science research community
title_full_unstemmed Diversifying the genomic data science research community
title_short Diversifying the genomic data science research community
title_sort diversifying the genomic data science research community
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341509/
https://www.ncbi.nlm.nih.gov/pubmed/35858750
http://dx.doi.org/10.1101/gr.276496.121
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