Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research
Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research
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以数据为中心的科学种类：区域气候建模和模式生物研究
DOI：
10.1017/psa.2021.50
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发表时间：
2022
影响因子：
1.7
通讯作者：
McGinnis, Seth
中科院分区：
文献类型：
--
作者：
Lloyd, Elisabeth;Lusk, Greg;Gluck, Stuart;McGinnis, Seth
现代科学产生、存储和分析大数据集的能力正在改变科学研究的实践方式。在这个“大数据”时代，哲学家们才刚刚开始理解科学推理的本质发生了变化。我们分析了生物学和气候建模中以数据为中心的实践，确定了以数据为中心的科学的不同种类：生物学中的现象负载和气候建模中的现象不可知论，每个都更适合自己的应用领域，尽管每个都需要权衡。我们认为，科学中以数据为中心的实践并不是单一的，因为大数据带来的机遇和挑战在不同的科学领域各不相同。
Modern science’s ability to produce, store, and analyze big datasets is changing the way that scientific research is practiced. Philosophers have only begun to comprehend the changed nature of scientific reasoning in this age of “big data.” We analyze data-focused practices in biology and climate modeling, identifying distinct species of data-centric science: phenomena-laden in biology and phenomena-agnostic in climate modeling, each better suited for its own domain of application, though each entail trade-offs. We argue that data-centric practices in science are not monolithic because the opportunities and challenges presented by big data vary across scientific domains.