| 科学基金资助机构视角下的科学数据管理研究 |
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| 引用本文： | 赵秋红,李元睿,邓修权,张楚,张保丰.科学基金资助机构视角下的科学数据管理研究[J].中国科学院院刊,2021,36(12):1456-1462. |
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| 作者姓名： | 赵秋红 李元睿 邓修权 张楚 张保丰 |
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| 作者单位： | 北京航空航天大学 经济管理学院 北京 100191 |
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| 基金项目： | 国家自然科学基金应急管理项目（71843011） |
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| 摘 要： | 随着科学数据的获取、存储、分析和处理等技术的发展，科学研究与科技创新逐步走向以科学数据为基础性科技资源的大数据时代，数据驱动研究范式渗入到各学科领域的实际工作中，科学数据在科研创新中的价值日益突出，科学基金资助机构的科学数据管理职责也更加重要。为此，文章在分析科学数据管理需求产生的驱动因素的基础之上，梳理了发达国家科学数据管理的实践经验，指出科学数据管理活动应联结科学数据全生命周期各阶段，以扩展科学数据的全生命周期及其产生的价值、推动其健康和可持续发展。文章提出了针对科学数据全生命周期的管理策略，包括：科学数据管理计划的制定和实施、科学数据汇交管理、科学数据开放共享、科学数据的可持续维护等，并围绕这些管理策略提出了具体的实施建议。
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| 关 键 词： | 科学数据 科学基金资助机构 数据汇交 数据共享 |
| 收稿时间： | 2021/11/24 0:00:00 |
Scientific Data Management from Perspective of Scientific Funding Agencies |
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| ZHAO Qiuhong,LI Yuanrui,DENG Xiuquan,ZHANG Chu,ZHANG Baofeng.Scientific Data Management from Perspective of Scientific Funding Agencies[J].Bulletin of the Chinese Academy of Sciences,2021,36(12):1456-1462. |
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| Authors: | ZHAO Qiuhong LI Yuanrui DENG Xiuquan ZHANG Chu ZHANG Baofeng |
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| Institution: | School of Economics and Management, Beihang University, Beijing 100191, China |
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| Abstract: | With the development of technologies such as the acquisition, storage, analysis, and processing of scientific data, scientific research and innovation are gradually moving towards the era of big data, which takes scientific data as the basic scientific and technological resources. Moreover, the data-driven research paradigm has been widely used in the practical work of various disciplines, and the value of scientific data has increased to a prominent position of scientific research and innovation. As a result, the scientific data management responsibilities of research funding agencies are becoming increasingly important. Therefore, based on the analysis of the driving factors of the demand for scientific data management, this paper reviews the current experience of scientific data management practice in developed countries, and points out that scientific data management activities should connect all stages of the whole life cycle of scientific data, so as to extend the life cycle, to expand the value, and to promote its healthy and sustainable development. Therefore, this paper puts forward the management strategies for the whole life cycle of scientific data, including the formulation and implementation of scientific data management plan, scientific data collection management, open sharing of scientific data, and sustainable maintenance of scientific data. Then, implementation suggestions related to these strategies are put forward. |
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| Keywords: | scientific data scientific funding agencies data collection data sharing |
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