Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)

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

Authors
Xiao Xu1, *, Fu Yiyan1
1Capital University of Economics and Business, Beijing, 100070, China
*Corresponding author. Email: xxgenius@126.com
Corresponding Author
Xiao Xu
Available Online 22 August 2024.
DOI
10.2991/978-94-6463-498-3_16How to use a DOI?
Keywords
scientific data; data elements; data value chain; circulation bottlenecks
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
22 August 2024
ISBN
978-94-6463-498-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-498-3_16How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiao Xu
AU  - Fu Yiyan
PY  - 2024
DA  - 2024/08/22
TI  - Research on the Value Chain Management and Circulation Bottlenecks of Scientific Data Elements
BT  - Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
PB  - Atlantis Press
SP  - 198
EP  - 214
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-498-3_16
DO  - 10.2991/978-94-6463-498-3_16
ID  - Xu2024
ER  -