New data acquisition techniques are generating data at much finer temporal and spatial resolution, compared to traditional seismic experiments. This is a challenge for data centers and users. As the amount of data potentially flowing into data centers increases by one or two orders of magnitude, data management challenges are found throughout all stages of the data flow.The Incorporated Research Institutions for Seismology—Réseau sismologique et géodésique français and GEOForschungsNetz data centers—carried out a survey and conducted interviews of users working with very large datasets to understand their needs and expectations. One of the conclusions is that existing data formats and services are not well suited for users of large datasets. Data centers are exploring storage solutions, data formats, and data delivery options to meet large dataset user needs. New approaches will need to be discussed within the community, to establish large dataset standards and best practices, perhaps through participation of stakeholders and users in discussion groups and forums.

中文翻译：

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探索地震学中大数据的方法：用户和数据存储库的角度

与传统的地震实验相比，新的数据采集技术正在以更高的时间和空间分辨率生成数据。对于数据中心和用户而言，这是一个挑战。随着潜在流入数据中心的数据量增加一到两个数量级，在数据流的所有阶段都面临着数据管理挑战。法国地震研究所和法国地质研究数据中心以及GEOForschungsNetz数据中心进行了调查，并对使用超大型数据集的用户进行了访谈，以了解他们的需求和期望。结论之一是现有数据格式和服务不适合大型数据集的用户。数据中心正在探索存储解决方案，数据格式，和数据传递选项，以满足大型数据集用户的需求。有可能需要在社区内讨论新方法，以建立大型数据集标准和最佳实践，这可能需要利益相关者和用户参与讨论组和论坛的参与。