Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)

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Research on Value Evaluation of Basic Scientific Data Based On Combination Weighting Method

Authors
Yajing Guo1, *, Yang Wang1, Chuanwen Wu1, Huixin Liu1, Lingling Geng1
1Aerospace Science & Industry Defense Technology Research and Test Center, Beijing, 100000, China
*Corresponding author. Email: 727693992@qq.com
Corresponding Author
Yajing Guo
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-980-3_27How to use a DOI?
Keywords
Basic scientific data; Data value assessment; Combination weighting
Abstract

Basic scientific data is an important foundation for scientific research, and establishing an effective data value evaluation system is an inevitable requirement for improving the output level and influence of scientific research results. This article proposes a method for evaluating the value of basic science data based on combination weighting, which is applicable to basic science data. A data value evaluation indicator system is established from three aspects: the cost value, intrinsic value, and utility value of the data. The relative weight values of each evaluation indicator are calculated using the combination weighting method, and the value level of the data is divided by a comprehensive evaluation function. The case analysis shows that this method can accurately evaluate the value level of basic scientific data.

Copyright
© 2025 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 the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
Series
Advances in Computer Science Research
Publication Date
26 December 2025
ISBN
978-94-6463-980-3
ISSN
2352-538X
DOI
10.2991/978-94-6463-980-3_27How to use a DOI?
Copyright
© 2025 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  - Yajing Guo
AU  - Yang Wang
AU  - Chuanwen Wu
AU  - Huixin Liu
AU  - Lingling Geng
PY  - 2025
DA  - 2025/12/26
TI  - Research on Value Evaluation of Basic Scientific Data Based On Combination Weighting Method
BT  - Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
PB  - Atlantis Press
SP  - 291
EP  - 300
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-980-3_27
DO  - 10.2991/978-94-6463-980-3_27
ID  - Guo2025
ER  -