Hook Daniel W, Porter Simon J
Digital Science, London, United Kingdom.
Department of Physics, Washington University in St Louis, St Louis, MO, United States.
Front Res Metr Anal. 2021 Apr 14;6:656233. doi: 10.3389/frma.2021.656233. eCollection 2021.
Cloud computing has the capacity to transform many parts of the research ecosystem, from particular research areas to overall strategic decision making and policy. Scientometrics sits at the boundary between research and the decision-making, policy-making, and evaluation processes that underpin research. One of the biggest challenges in research policy and strategy is having access to data in a way that allows for analysis that can respond in an iterative way to inform decisions. Many decisions are based on "global" measures such as benchmark metrics that are hard to source and hence are often nonspecific or outdated. The use of cloud technologies may be promising in addressing this area of providing data for research strategy and policy decisions. A novel visualisation technique is introduced and used as a means to explore the potential for scaling scientometrics by democratising both access to data and compute capacity using the cloud.
云计算有能力改变研究生态系统的许多方面，从特定研究领域到整体战略决策和政策制定。科学计量学处于研究与支撑研究的决策、政策制定和评估过程之间的边界位置。研究政策和战略面临的最大挑战之一是能够以一种允许进行分析的方式获取数据，这种分析能够以迭代方式为决策提供信息。许多决策基于诸如基准指标等“全局”衡量标准，这些指标难以获取，因此往往不具体或过时。在为研究战略和政策决策提供数据这一领域，使用云技术可能很有前景。本文介绍了一种新颖的可视化技术，并将其用作一种手段，通过利用云实现数据访问和计算能力的民主化，来探索扩大科学计量学规模的潜力。
