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

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Research on Data Security Governance of Industrial Information Service Platform

——Based on Information Ecology Theory

Authors
Cao Yue1, *, Bai Chen1, Zhang Yue1, Zhang Xuanxuan1
1Institute of Scientific and Technical Information of China, Fuxing Rd. 15, 100038, Beijing, China
*Corresponding author. Email: caoyue@istic.ac.com
Corresponding Author
Cao Yue
Available Online 22 August 2024.
DOI
10.2991/978-94-6463-498-3_14How to use a DOI?
Keywords
Industrial Information Service Platform; Information Ecology; Data Ecology; Data Security; Data Security Governance
Abstract

Industrial information service platform gathers all kinds of data resources that are closely related to industrial development activities, and it is essential to guarantee the security of the whole life cycle of data for platform construction and operation services. In the face of the platform’s large data volume, scattered storage, complex stakeholder relationships and environment, etc., the information ecology theory is introduced to construct the data ecosystem framework of the industrial information service platform based on three elements: data subject, data ontology and data environment, and to analyze the representative data security problems brought about by the interaction of each element with the element. Finally, the data security governance framework of industrial information service platform is constructed with the objectives of strengthening data security, exploring data value and guaranteeing data service, and the theoretical basis is proposed for enhancing the data security guarantee capability of the platform.

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_14How 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  - Cao Yue
AU  - Bai Chen
AU  - Zhang Yue
AU  - Zhang Xuanxuan
PY  - 2024
DA  - 2024/08/22
TI  - Research on Data Security Governance of Industrial Information Service Platform
BT  - Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
PB  - Atlantis Press
SP  - 163
EP  - 180
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-498-3_14
DO  - 10.2991/978-94-6463-498-3_14
ID  - Yue2024
ER  -