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高校地质学报 ›› 2020, Vol. 26 ›› Issue (4): 472-480.DOI: 10.16108/j.issn1006-7493.2020025

• 深时数字地球专辑: 地球科学大数据II • 上一篇    

国际大洋科学钻探的数据资源与共享现状

鲁铮博,史宇坤,华 洪,拓守廷,叶训焱,邓怡颖,樊隽轩   

  1. 1. 大陆动力学国家重点实验室,西北大学 地质学系,西安 710069;
    2. 南京大学 地球科学与工程学院,南京 210023;
    3. 同济大学 海洋地质国家重点实验室,上海 200092;
    4. 中国科学院 南京地质古生物研究所,南京 210008;
    5. 内生金属矿床成矿机制研究国家重点实验室,南京 210023
  • 出版日期:2020-08-20 发布日期:2020-08-20

Current Data Administration and Sharing of International Scientific Ocean Drilling

LU Zhengbo,SHI Yukun,HUA Hong,TUO Shouting,YE Xunyan,DENG Yiying,FAN Junxuan   

  1. 1. State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi’an 710069, China;
    2. School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China;
    3. State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China;
    4. Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences, Nanjing 210008, China;
    5. State Key Laboratory for Mineral Deposits Research, Nanjing 210023, China
  • Online:2020-08-20 Published:2020-08-20

摘要: 国际大洋科学钻探可以追溯到20世纪60年代的“莫霍钻”计划。在50余年的历史中,经历了深海钻探计划、大洋钻探计划、综合大洋钻探计划和国际大洋发现计划四个阶段,执行了300多个航次的洋底钻探任务。所获得的海量、珍贵的洋底数据,如今保存在多个数据库中。这些数据包括了测井信息、岩芯基概况信息、物理属性信息、化学属性信息、岩石特征、古生物化石内容等观测和实验分析结果,数据量巨大。这些数据还通常附于相关的大洋钻探出版物中发表,部分被相关专业数据库收录。总体来看,大洋钻探目前的数字化工作存在多个数据库间数据类型不匹配和数据检索方式单调等问题,不利于后续对于数据的再挖掘和利用。未来需要重视综合性大数据平台的建设,将不同来源、不同类型的多源异构数据有效融合,互联互通,并充分利用已有的大数据技术手段支撑相关的科学研究。

关键词: 大洋钻探, 国际大洋发现计划, 数据库, 大数据

Abstract: International scientific ocean drilling dates back to the “Project Mohole” in the 1960s, and includes the later Deep Sea Drilling Project, Ocean Drilling Program, Integrated Ocean Drilling Program and International Ocean Discovery Program. Through over 300 ocean drilling tasks,a large amount of precious data have been obtained from the seafloor and now stored in multiple databases. Those data record the characteristics of the core samples in various aspects such as physical, chemical, lithological, micropaleontological, etc., as well as logging information. All the information has been acquired either from shipboard bservations and measurements or after-cruise experimental analysis. In addition to being stored in IODP databases, these data have been published in relevant journals of ocean drilling, and some were deposited in other professional databases. These data are difficult to combine all together because different data types among the databases and in each database, the data search routine is too simple for advanced use. To set up a comprehensive data platform to store and manage heterogeneous data from ocean drilling projects and integrate various services and functions processing the data for more broad use, will be a task for eological community in the future.

Key words: ocean drilling, international ocean discovery program, database, big data

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