Research on Privacy Risk Identification in Government Data Sharing
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Available Online 29 December 2022.
- 10.2991/978-2-494069-31-2_383How to use a DOI?
- Government Data Sharing; Privacy Risk Identification; Risk Governance Theory
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.
- © 2022 The Author(s)
- Open Access
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Cite this article
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 -