%A SONG Zhuanling,LI Xinfang,DING Ming,WANG Yan %T Organization and Management of Scientific Survey Cruise Data %0 Journal Article %D 2022 %J Frontiers of Data and Computing %R 10.11871/jfdc.issn.2096-742X.2022.03.012 %P 152-161 %V 4 %N 3 %U {http://www.jfdc.cnic.cn/CN/abstract/article_221.shtml} %8 2022-06-20 %X

[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.