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摘要翻译：
近年来，生物研究的现代工具，特别是显微镜技术迅速发展，这导致了越来越多的定期数据的产生。结果是科学家们迫切需要最先进的技术基础设施来存储、传输和处理原始数据。这些科学家目前依赖过时的方法来移动和存储数据，花费了宝贵的时间，并冒着丢失宝贵数据的风险。虽然社区了解数据管理的现代方法和高级原则（包括公平原则），但受过高度培训和高薪的科学家被迫花时间处理技术问题，这最终可能比在校园内提供存储和快速网络的成本还要高。在这里，我们为更好的基础设施提供简明的论点，可能的解决方案的蓝图，以及在解决这个问题的政治进程中导航的建议。我们建议，作为一个广泛的解决方案，独立的国家卫生研究院管理的基金，以支持大学和研究所部署数据存储和所有资助项目的长期数据共享。这一立场声明开放给更多来自成像，生命科学和其他学科的贡献者。请与我们联系您的经验和观点。
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英文标题：
《Biologists need modern data infrastructure on campus》
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作者：
Andrey Andreev, Tom Morrell, Kristin Briney, Sandra Gesing, Uri Manor
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最新提交年份：
2021
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
Modern tools for biological research, especially microscopy, have rapidly advanced in recent years, which has led to the generation of increasingly large amounts of data on a regular basis. The result is that scientists desperately need state-of-the-art technical infrastructure for raw data storage, transfer, and processing. These scientists currently rely on outdated ways to move and store data, costing valuable time and risking loss of valuable data. While the community is aware of modern approaches to data management and high-level principles (including FAIR), highly-trained and highly-paid scientists are forced to spend time dealing with technical problems, which can ultimately costs more than providing storage and a fast network on campus. Here we provide concise arguments for better infrastructure, blueprints of possible solutions, and advice in navigating the political process of solving this issue. We suggest, as a broad solution, separate NIH-managed fund for supporting universities and institutes in deployment of data storage and long-term data sharing for all funded projects. This position statement is open for more contributors from imaging, life sciences, and other disciplines. Please contact us with your experience and perspective.
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PDF链接：
https://arxiv.org/pdf/2108.07631
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