科学考察航次数据的组织与管理

Organization and Management of Scientific Survey Cruise Data

【目的】为了系统地管理来自不同学科、不同数据结构和不同处理方法的科学考察航次数据。【方法】数据资源组织采用建立数据集、元数据的方式和电子档案、纸质档案相结合的管理模式。【结果】结合大数据技术数据管理理念,在数据管理阶段采用关系数据库管理结构化数据,利用文件管理模式管理非结构化数据,以确保能够以统一高效的方式管理数据。初步解决了科学考察航次数据专业面广、类型多、结构复杂等管理难点。【结论】为航次数据共享服务打下数据资源的坚实基础,可为后续的研究提供便捷的数据检索渠道。

[Objective]This paper presents a systematic approach to manage scientific survey cruise data of different disciplines,with different data structures and data processing methods.[Methods]Dataset and metadata in data organization,and common management modes of combining electronic and paper files in data management are used in this study.[Results]Big data technology,including relational databases for managing structured data while adopting unstructured data for the file management mode in the data management stage,is gradually introduced into the data management mode to ensure that data can be managed in a unified and efficient way.Management difficulties in scientific survey cruise data,such as a wide range of specialties,multiple types,and complex data structures are solved.[Conclusions]This work provides a theoretical basis and builds a convenient retrieval channel for data sharing services.Future investigations can focus on extracting useful information from scientific survey cruise data,which is the basis of our activities and decision-making.