澳門保安範疇智慧雲警務數據治理的現狀分析及改善意見
王少嶺

摘要：
保安當局貫徹科技強警的施政理念，期望透過智慧警務各項應用，提升本澳治安管理和監察的能力。智慧應用以數據為資源，數據需要通過治理，才能挖掘潛藏其中的價值，賦能智慧警務各項應用。本文首先介紹了數據治理的概念，以及數據治理相關理論框架。接着，總結澳門保安範疇智慧雲警務數據治理的現況及成效，保安當局成立了智慧雲警務的領導小組及數據治理小組、制定了智慧警務的五年規劃和制定若干標準規範、初步梳理數據資源及建設警務數據資源服務共享平台。最後，指出現時保安範疇智慧雲警務數據治理仍處於初步階段，需評估數據治理現況，制定針對性改善規劃，羅列6項智慧警務數據治理的困難及挑戰， 並提出8項改善建議及展望。

關鍵詞：
數據治理 數據管理 數據 智慧警務

Analysis of the Current Situation and Suggestions for Improvement in Smart Cloud Policing Data Governance in Macao’s Security Sector
Wong Sio Leng

Abstract：
The security authorities implement the governance philosophy of strengthening the police through technology, aiming to enhance Macao’s security management and supervision capabilities through various smart policing applications. Smart pplications leverage data as a resource, which needs to be governed to uncover its hidden value and empower various smart policing applications. This article begins by introducing the concept of data governance and its relevant theoretical framework. It then summarizes the current status and effectiveness of smart cloud policing data governance in Macao’s security sector. The security authorities established a leadership team and a data governance team for smart cloud policing, formulated a five-year plan for smart policing, set several standards and specifications, conducted an initial analysis of data resources, and built a shared platform for policing data resource services. Lastly, the article highlights that smart cloud policing data governance in the current security sector is still in its initial stage. It is necessary to assess the current state of data governance and develop targeted improvement plans. The article identifies six challenges and difficulties in smart policing data governance, and proposes eight suggestions for improvements and future prospects.

Key words：
Data Governance Data Management Data Smart Policing

DOI：
https://doi.org/10.63334/esfsmjournal.i6.2024.09.07