Research on Local Government Data Security Management in the Big Data Era

DOI

10.2991/978-94-6463-056-5_3How to use a DOI?

Keywords

Data security; Public data; Management mode

Abstract

Data Security is an inevitable problem in the process of data exploitation. The traditional "system-centered" management philosophy and mode have been unable to meet the needs of data in the circulation. Therefore, it is urgent to explore the status quo and mode of data security management under the framework of "data-centered" philosophy in order to better promote data exploitation. Drawing on the qualitative research tool Maxqda2020, this paper analyzes the relevant policy texts and responsibilities of government bodies, identifies the core value, organizational structure and the division of responsibility of local governments in data security management, and tries to summarize their management modes. The data security management has preliminarily achieved the mode transformation from "system and application-centered "to "data-centered". The balance between security and utilization has been recognized at the value level. But the corresponding organizational structure, management measures and means have not kept up.In the future, data security management needs to be optimized in terms of laws and regulations and top-level design

Copyright

© 2023 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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TY  - CONF
AU  - Hua Rui
PY  - 2022
DA  - 2022/12/29
TI  - Research on Local Government Data Security Management in the Big Data Era
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 10
EP  - 15
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_3
DO  - 10.2991/978-94-6463-056-5_3
ID  - Rui2022
ER  -