Fluxdata.org:气候和地球科学共享数据的出版和管理

M. Humphrey, D. Agarwal, C. Ingen
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引用次数: 9

摘要

当今许多大型科学项目都试图从不同的来源收集数据。传统的运动式“综合”方法通过单一的集中努力收集数据,数据贡献者事先确切地知道谁将使用他们的数据以及为什么使用。即使在中等规模下,为了构建合成数据集而查找、收集、整理、规范化和自定义数据所需的成本和时间也可能很快超过最终数据集的价值。通过明确地识别和解决每个数据角色(作者、发布者、管理者和消费者)的不同需求,我们的大规模共享科学数据的数据管理体系结构可以创建这样的综合数据集,这些数据集可以随着新的数据、数据注释、参与者和使用规则而不断增长和发展。我们在FLUXNET合成数据集(目前最大的生物地球物理实验之一)的背景下展示了我们方法的有效性。
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Fluxdata.org: Publication and Curation of Shared Scientific Climate and Earth Sciences Data
Many of today’s large-scale scientific projects attempt to collect data from a diverse set of sources. The traditional campaign-style approach to “synthesis” efforts gathers data through a single concentrated effort, and the data contributors know in advance exactly who will use their data and why. At even moderate scales, the cost and time required to find, gather, collate, normalize, and customize data in order to build a synthesis dataset can quickly outweigh the value of the resulting dataset. By explicitly identifying and addressing the different requirements for each data role (author, publisher, curator, and consumer), our data management architecture for large-scale shared scientific data enables the creation of such synthesis datasets that continue to grow and evolve with new data, data annotations, participants, and use rules. We show the effectiveness of our approach in the context of the FLUXNET Synthesis Dataset, one of the largest ongoing biogeophysical experiments.
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