scientific data; scientific funding agencies; data collection; data sharing
Operation System and Management of National Natural Science Foundation of China in New Era
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.
Bulletin of Chinese Academy of Sciences
Original Submission Date
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ZHAO, Qiuhong; LI, Yuanrui; DENG, Xiuquan; ZHANG, Chu; and ZHANG, Baofeng
"Scientific Data Management from Perspective of Scientific Funding Agencies,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 36
, Article 10.
Available at: https://bulletinofcas.researchcommons.org/journal/vol36/iss12/10