Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866917759702532096 |
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| author | Taufer, Michela Pascucci, Valerio Kirkpatric, Christine R. Foster, Ian T. |
| author_facet | Taufer, Michela Pascucci, Valerio Kirkpatric, Christine R. Foster, Ian T. |
| contents | The urgent need for data democratization in scientific research was the focal point of a panel discussion at SC23 in Denver, Colorado, from November 12 to 17, 2023. This article summarizes the outcomes of that discussion and subsequent conversations. We advocate for strategic investments in financial, human, and technological resources for sustainable data democratization. Emphasizing that data is central to scientific discovery and AI deployment, we highlight barriers such as limited access, inadequate financial incentives for cross-domain collaboration, and a shortage of workforce development initiatives. Our recommendations aim to guide decision-makers in fostering an inclusive research community, breaking down research silos, and developing a skilled workforce to advance scientific discovery. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_14627 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future Taufer, Michela Pascucci, Valerio Kirkpatric, Christine R. Foster, Ian T. Databases Computational Engineering, Finance, and Science Computers and Society Emerging Technologies The urgent need for data democratization in scientific research was the focal point of a panel discussion at SC23 in Denver, Colorado, from November 12 to 17, 2023. This article summarizes the outcomes of that discussion and subsequent conversations. We advocate for strategic investments in financial, human, and technological resources for sustainable data democratization. Emphasizing that data is central to scientific discovery and AI deployment, we highlight barriers such as limited access, inadequate financial incentives for cross-domain collaboration, and a shortage of workforce development initiatives. Our recommendations aim to guide decision-makers in fostering an inclusive research community, breaking down research silos, and developing a skilled workforce to advance scientific discovery. |
| title | Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future |
| topic | Databases Computational Engineering, Finance, and Science Computers and Society Emerging Technologies |
| url | https://arxiv.org/abs/2408.14627 |