数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (3): 92-98.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.03.010

doi: 10.11871/jfdc.issn.2096-742X.2024.03.010

• 会议论文 • 上一篇    下一篇

海洋科学数据汇聚共享服务平台建设

任焕萍1,2(),李一凡1,2,张斌1,2,郑双强1,2,王彦俊1,2,冯立强1,2,李富超1,2,*()   

  1. 1.中国科学院海洋研究所，海洋大数据中心, 山东 青岛 266071
    2.中国科学院海洋科学数据中心，山东 青岛 266071
  • 收稿日期:2023-10-23 出版日期:2024-06-20 发布日期:2024-06-21
  • 通讯作者: *李富超（E-mail: lifuchao@qdio.ac.cn）
  • 作者简介:任焕萍，中国科学院海洋研究所，高级工程师，主要从事海洋大数据和信息化研发工作，主要研究方向为海洋大数据质控技术、大数据服务平台和数据库应用。
    负责论文初稿撰写与软件系统设计。
    REN Huanping is a senior engineer of the Institute of Oceanography of the Chinese Academy of Sciences. She is mainly engaged in the research and development of marine big data and informatization. Her research interests include marine big data quality control technology, big data service platform, and database application.
    In this paper, she is responsible for the paper drafting and software system design.
    E-mail: hpren@qdio.ac.cn|李富超，中国科学院海洋研究所，海洋大数据中心主任，研究员，硕士生导师，主要从事基于基因组学的海洋微生物群落、功能及产物多样性研究。近年来，组织建设海洋大数据中心，整合多源海洋数据资源，构建海洋科学数据综合平台，发表学术论文70余篇，申请和授权专利20余项，获山东省自然科学奖等科技奖励3项。
    负责制定论文框架，论文修改、审定。
    LI Fuchao, Director of Oceanographic Data Center, Institute of Oceanology, Chinese Academy of Sciences, professor and master supervisor, mainly engaged in genomics-based research on marine microbial communities, functions, and product diversity. In recent years, he has organized the construction of an ocean big data center, integrated multi-source ocean data resources, built a comprehensive platform for ocean scientific data, published more than 70 academic papers, applied for and authorized more than 20 patents, and won 3 scientific and technological awards such as the Shandong Natural Science Award.
    In this paper, he is responsible for drawing up the paper framework, and paper revision and approval.
    E-mail: lifuchao@qdio.ac.cn
  • 基金资助:
    国家重点研发计划“海洋牧场智能管控与少人化精准协同作业应用示范”(2021YFB3901304);中国科学院“十四五”网络安全和信息化专项(CAS-WX2022SDC-XK11)

Construction of Marine Scientific Data Collection and Sharing Platform

REN Huanping1,2(),LI Yifan1,2,ZHANG Bin1,2,ZHENG Shuangqiang1,2,WANG Yanjun1,2,FENG Liqiang1,2,LI Fuchao1,2,*()   

  1. 1. Oceanographic Data Center, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong 266071, China
    2. Oceanographic Data Center, Chinese Academy of Sciences, Qingdao, Shandong 266071, China
  • Received:2023-10-23 Online:2024-06-20 Published:2024-06-21

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摘要：

【应用背景】海洋数据是认识海洋、经略海洋的基础，随着海洋观测和探测技术的快速发展，海洋数据呈爆炸式增长，数据的开放共享需求日益迫切。【目的】为了实现多源海洋科学数据的整合，打通数据存储孤岛，建立统一的元数据标准和数据共享链路，【方法】本文构建了一个海洋科学数据汇聚共享服务平台，提供海洋数据汇交、审核、注册、存储、检索和共享全过程管理的一体化、在线化和流程化服务，为不同用户提供公平渠道获取数据、信息、知识和技术；提供DOI/CSTR自动注册服务，加强数据知识产权保护，保护数据所有者权益。【结果】平台以数据规范为牵引，将数据存储规范、管理流程规范、元数据标准纳入系统设计中，实现数据统一编码、统一管理、统一存储、统一发布的“四统一”。【结论】通过平台的应用推广，能够更好地推进海洋科学数据高效共享和利用，充分挖掘海洋信息资源的潜在价值，高质量支撑海洋科学研究。

关键词: 海洋大数据, 数据汇聚, 数据共享, 数据管理系统

Abstract:

[Background] Ocean data is the foundation for understanding and exploiting the ocean. With the rapid development of ocean observation and detection technologies, ocean data is experiencing an explosive growth. The data demand is becoming increasingly urgent. [Objective] The purpose is to integrate multi-source ocean science data, break through the data storage isolation, and establish unified metadata standards and data sharing links. [Methods] This paper constructs an ocean science data aggregation and sharing service platform. It provides an integrated, online, and streamlined process for ocean data submission, review, registration, storage, retrieval, and sharing. It offers a fair way for different users to access data, information, knowledge, and technology. The platform also provides DOI/CSTR automatic registration services to enhance data intellectual property protection and safeguard the rights of data owners. [Results] The platform, guided by data standards, incorporates data storage standards, management process standards, and metadata standards, achieving the "Four Unifications": unified encoding, unified management, unified storage, and unified publication. [Conclusions] With the widespread application of the platform, it can better promote the efficient sharing and utilization of ocean science data, fully explore the potential value of ocean information, and provide high-quality support for ocean science research.

Key words: marine big data, data aggregation, data sharing, data management system