A multi-dimensional approach to the future of digital research infrastructure for systemic environmental science.

IF 6.7 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Patterns Pub Date : 2024-11-08 DOI:10.1016/j.patter.2024.101092
Kelly Widdicks, Faiza Samreen, Gordon S Blair, Susannah Rennie, John Watkins
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引用次数: 0

Abstract

Digital research infrastructure (DRI) for environmental science requires significant transformation to support the changing nature of science and utilize digital innovations. Numerous challenges prevent this change yet simultaneously pose exciting principles to drive the future of DRI. This opinion piece details a multi-dimensional approach toward these futures for the environmental community.

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从多维角度探讨系统环境科学数字研究基础设施的未来。
环境科学的数字研究基础设施(DRI)需要进行重大变革,以支持不断变化的科学性质并利用数字创新。众多挑战阻碍了这一变革,但同时也提出了推动 DRI 未来发展的激动人心的原则。本评论文章详细介绍了环境界实现这些未来的多维方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
期刊介绍:
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