| 数据密集型环境下农业科研信息化发展路径研究 |
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| 引用本文： | 赵瑞雪,孙坦,杨晓蓉,王剑.数据密集型环境下农业科研信息化发展路径研究[J].中国农业科技导报,2022,24(7):1-7. |
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| 作者姓名： | 赵瑞雪 孙坦 杨晓蓉 王剑 |
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| 作者单位： | 1.中国农业科学院农业信息研究所, 北京 100081;2.中国农业科学院, 农业农村部农业大数据重点实验室, 北京 100081 |
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| 基金项目： | 中国农业科学院科技创新工程项目(CAAS-ASTIP-2016-AII) |
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| 摘 要： | 随着数据密集型科研范式变革的不断深入，如何应用先进的信息技术推动农业领域海量数据融入实际应用场景、引领农业科技创新体系可持续发展，已成为当前农业科研机构科研信息化发展所面临的首要问题。为推动农业科研创新，通过分析数据密集型科研环境下科研活动所面临的新问题和新需求，以信息化支撑能力建设为视角，从信息化基础环境、科研大数据中心、智能化装备和新型科研平台4个维度探讨构建数据密集型科研范式变革下的科研信息化发展路径框架模型。基于此路径框架模型，提出了面向科研人员数据能力提升与创新需求的信息化重点建设举措和发展方向，以期能够全面提升科研信息化在农业科研创新与管理过程中“融入环境，嵌入过程”的能力，促进未来农业科研机构科研信息化从支撑辅助到引领发展的转变。
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| 关 键 词： | 科研信息化 数据密集型环境 开放科学 农业科研机构 科研创新 发展路径 |
| 收稿时间： | 2021-12-08 |
Research on the Development Path of Agricultural Scientific Informatization Under Data-intensive Environments |
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| Ruixue ZHAO,Tan SUN,Xiaorong YANG,Jian WANG.Research on the Development Path of Agricultural Scientific Informatization Under Data-intensive Environments[J].Journal of Agricultural Science and Technology,2022,24(7):1-7. |
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| Authors: | Ruixue ZHAO Tan SUN Xiaorong YANG Jian WANG |
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| Institution: | 1.Agricultural Information Institution，Chinese Academy of Agricultural Sciences，Beijing 100081，China;2.Key Laboratory of Agricultural Big Data，Ministry of Agriculture and Rural Affairs； Chinese Academy of Agricultural Sciences，Beijing 100081，China |
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| Abstract: | With deepening of the revolution of data-intensive research paradigm， how to use information technology to promote the integration of rich agricultural data types and application scenarios， and realize the sustainable development of the agricultural science and technology innovation system has become the primary issue for the development of scientific informatization in agricultural research institutions. In order to promote agricultural scientific research innovation， a framework model for the development of scientific informatization was built under the transformation of data-intensive scientific research paradigm， which included 4 dimensions： basic environment， scientific research big data center， intelligent equipment and new scientific research platform. Based on this framework model， the key construction measures and development directions of scientific informatization for researchers’ data ability improvement and innovation needs was proposed， which would help to improve the ability of scientific informatization for “integrate into the environment and embed in the process” in process of innovation and management， and transform scientific informatization from supporting assistance to leading development in the future. |
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| Keywords: | scientific informatization data-intensive environment open science agricultural scientific research institutions scientific innovation development path |
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