Research on Privacy Risk Identification in Government Data Sharing

DOI

10.2991/978-2-494069-31-2_383How to use a DOI?

Keywords

Government Data Sharing; Privacy Risk Identification; Risk Governance Theory

Abstract

This study brings together risk governance theory and proposes a framework of privacy risk identification mechanism for government data openness in order to comprehensively and precisely identify the privacy risks contained in the process of open government data and to help privacy risk governance facilitate the process of open government data. Based on the analysis, this paper proposes an effective mechanism framework combining a directional identification mechanism, a driving mechanism, a regulation mechanism, and the relationships between each mechanism. Taking this approach can reduce the risk of private data being used for illegal purposes by governments, which is worth paying attention to.

Copyright

© 2022 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  - Jiahao Pan
PY  - 2022
DA  - 2022/12/29
TI  - Research on Privacy Risk Identification in Government Data Sharing
BT  - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
PB  - Atlantis Press
SP  - 3255
EP  - 3260
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-31-2_383
DO  - 10.2991/978-2-494069-31-2_383
ID  - Pan2022
ER  -