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Research on the Value Chain Management and Circulation Bottlenecks of Scientific Data Elements

Xiao Xu () and Fu Yiyan
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Xiao Xu: Capital University of Economics and Business
Fu Yiyan: Capital University of Economics and Business

A chapter in Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023), 2024, pp 198-214 from Springer

Abstract: Abstract In order to understand the practical problems of the circulation and utilization of scientific data in the value chain in China, explore and construct the theoretical model of the value chain of scientific data elements on the basis of discussing the value effect of data elements, and then reveal the bottleneck of the circulation of scientific data elements along the value chain and analyze the corresponding solutions. It is found that the circulation and utilization of scientific data in the value chain in China are facing practical bottlenecks in four aspects which are factor allocation, standard practice, privacy security, and asset security. It is found that the circulation and utilization of scientific data in the value chain in China are facing practical bottlenecks in four aspects which are factor allocation, standard practice, privacy security, and asset accounting. In this regard, China can focus on three aspects which are promoting the resource sharing of scientific data service platforms, continuing to develop and promote scientific data standards and relevant statistical systems, managing scientific data by level and classification and improving the quality of scientific data. In this regard, China can focus on three aspects which are promoting the resource sharing of scientific data service platforms, continuing to develop and promote scientific data standards and relevant statistical systems, managing scientific data by level and classification and improve governance mechanisms.

Keywords: scientific data; data elements; data value chain; circulation bottlenecks (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-498-3_16

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