数据与计算发展前沿 ›› 2023, Vol. 5 ›› Issue (4): 77-85.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.04.007

doi: 10.11871/jfdc.issn.2096-742X.2023.04.007

• 技术与应用 • 上一篇    下一篇

计算型科研的理念、内涵及农业科研发展的启示

孙坦1,2(),赵瑞雪3,杨晓蓉3,*(),王剑3   

  1. 1.中国农业科学院，北京 100081
    2.农业农村部农业大数据实验室，北京 100081
    3.中国农业科学院农业信息研究所，北京 100081
  • 收稿日期:2022-03-23 出版日期:2023-08-20 发布日期:2023-08-23
  • 通讯作者: *杨晓蓉（E-mail: yangxiaorong@caas.cn）
  • 作者简介:孙坦，中国农业科学院，副院长，博士，研究馆员，长期从事数字信息描述与组织研究，近年来主持国家科技支撑计划重点项目等近10项国家及省部级研究项目，发表学术论文80余篇，主编、参编著作7部。2005年荣获国务院政府特殊津贴，2014年被评为“全国优秀科技工作者”，2016年入选中国农业科学院青年英才计划，2018年入选中国农业科学院农科英才领军人才C类，主要研究领域为智能知识服务、科研信息化发展战略等。
    负责论文总体概念体系的构建和整体框架设计。
    SUN Tan, Chinese Academy of Agricultural Sciences(CAAS), Vice President, Ph.D., Research Librarian. He has long been engaged in research on digital information description and organization. In recent years, he has presided over nearly 10 national and provincial research projects including key projects of the National Science and Technology Support Program, and has published academic papers More than 80 articles, edited and co-edited 7 books. In 2005, he was awarded the special government allowance of the State Council. In 2014, he was named “National Outstanding Scientific and Technological Worker”. In 2016, he was selected into the Young Talents Program of the Chinese Academy of Agricultural Sciences. In 2018, he was selected as the leading talent of agricultural science of the Chinese Academy of Agricultural Sciences in the category C. The main research fields are intelligent knowledge service, scientific research informatization development strategy, etc.
    In this paper, he is responsible for the construction of the overall conceptual system of the thesis and the design of the overall framework.
    E-mail: suntan@caas.cn|杨晓蓉，中国农业科学院农业信息研究所，事业部主任，研究员，博士,长期从事科研信息化发展战略研究、网站技术研究与应用。主持和参加了国家科技支撑计划、国家科技基础条件平台项目、科技部专项、基本科研业务费课题等总计37项科研项目的研究工作。曾获得科技成果奖励3项，公开发表论文30多篇，参编著作7部，撰写各种技术与分析报告30多部，主要研究领域为农业信息技术、科研信息化战略等。
    负责论文总体框架的实施与部分内容的修改。
    YANG Xiaorong, Institute of Agricultural Information of CAAS, director of the business department, researcher, Ph.D. She has long been engaged in the research on the development strategy of scientific research informatization, and the research and application of website technology. He has presided over and participated in the research work of a total of 37 scientific research projects, including the National Science and Technology Support Program, the National Science and Technology Basic Conditions Platform Project, the Ministry of Science and Technology Special Project, and the Fundamental Research Fund Project. He has won 3 awards for scientific and technological achievements, published more than 30 papers, participated in the compilation of 7 books, and wrote more than 30 technical and analytical reports. His main research fields are agricultural information technology, scientific research informatization strategy, etc.
    In this paper, she is responsible for the implementation of the overall framework and the revision of some content.
    E-mail: yangxiaorong@caas.cn
  • 基金资助:
    中国农业科学院农业信息研究所创新工程项目“中国农业科学院科研信息化发展战略研究和信息化发展水平评估研究与实施”(CAAS-ASTIP-2016-AII)

The Concept and Connotation of Research with Computation and its Practice in Agricultural Scientific Research

SUN Tan1,2(),ZHAO Ruixue3,YANG Xiaorong3,*(),WANG Jian3   

  1. 1. Chinese Academy of Agricultural Sciences,Beijing 100081, China
    2. Key Laboratory of Agricultural Big Data,Ministry of Agriculture and Rural Affairs,Beijing 100081, China
    3. Agricultural Information Institution of CAAS,Beijing 100081, China
  • Received:2022-03-23 Online:2023-08-20 Published:2023-08-23

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摘要：

【目的】随着大数据时代的到来，科学研究方式的计算型特征日益明显，计算型科研已成为新时期科研模式变革的重要方向。【方法】通过对计算型科研产生背景、内涵、理念的分析，探讨了在数据密集型环境下，计算型科研在基础设施、研究对象和研究方法方面对科研活动所展现出的新需求。【结果】以农业领域为应用场景，从环境营造、数据共享、协作体系、装备研发和素质培育5个方面为农业科研的发展提供了启示，以期能够全面提升计算型科研面向农业创新与管理的“融入环境、嵌入过程”的能力，有效支撑农业领域科研模式的转型升级。

关键词: 计算型科研, 数据密集型环境, 农业科研, 应用实践, 启示

Abstract:

[Purpose] Due to the impact of the big data, the trend of using computing in scientific research has become obvious. Computational scientific research has become an important direction for reforming scientific research models in the new era. [Methods] Through analysis of the background, connotation, and concept of computational scientific research, we discuss the new demand of the computational scientific research under the data-intensive environment from three aspects: infrastructure, research objects, and research methods. [Results] Based on these demands, the enlightenment for developing agricultural scientific research is presented from five aspects: environment creation, data sharing, collaboration system, equipment development, and computational thinking, which will help improve the ability of the research for "integrating into the environment and embedded in the process" in agricultural innovation and management, effectively supporting the transformation and upgrading of computational scientific research in the agricultural field.

Key words: computational scientific research, data-intensive environment, agricultural research, application practice, enlightenment