地质科学大数据统合应用的基本问题

进行地质科学大数据统合利用，涉及一系列理论、方法和技术问题，包括:多源多类异质异构地质数据的采集、存储和管理问题；数据汇聚、集成和结构化、可视化转换问题；数据同化、融合问题和深度挖掘、广度聚联问题；地质大数据有效利用的方式、方法和途径问题，以及云服务的模式和系统架构问题。所面对的挑战是实现结构化-半结构化-非结构化数据、静态勘查数据与动态监测数据的一体化存储、管理、处理和应用，以及大数据与小数据、混杂性数据与精确性数据、模型与数据、有模型与无模型、关联关系和因果关系的矛盾与统一问题。 

Fundamental problems of integrated application of big data in geoscience

The polymerization and utilization of geological science big data involves a series of theoretical, methodological and technical problems: multi-source, multi-class, heterogeneous and isomerism geological data collection, storage and management; data converge, integration and structuring, visualization conversion; data assimilation, fusion and depth mining, breadth-gathering and associated. Problems are also found in the pattern, method and way of effective utilization of geological big data, as well as the mode and system architecture of cloud service. The challenge is to realize the integrated storage, management, processing and application of structured, semi-structured and unstructured data, static survey data and dynamic monitoring data, as well as the contradiction and unity between big data and small data, mixed data and accuracy data, model and no model, correlation and causality.