推动官方统计的卓越发展:释放数字数据综合治理的潜力

IF 3.7 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Big Data and Cognitive Computing Pub Date : 2023-07-29 DOI:10.3390/bdcc7030134
Hossein Hassani, S. MacFeely
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引用次数: 0

摘要

随着数字技术的广泛使用和随之而来的数据泛滥,官方统计面临着新的挑战和机遇。在此背景下,通过有效的数据治理加强官方统计对于确保数据的可靠性、质量和可及性至关重要。本文提出了官方统计数字数据治理的综合框架,解决了数据收集和管理、处理和分析、数据共享和传播以及隐私和道德考虑等关键组成部分。该框架将数据治理原则集成到数字统计流程中,使统计组织能够驾驭数字环境的复杂性。通过案例研究和最佳实践,本文重点介绍了数字数据治理在官方统计中的成功实施。本文最后讨论了未来的趋势和方向,包括推进数字数据治理的新兴技术和机遇。
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Driving Excellence in Official Statistics: Unleashing the Potential of Comprehensive Digital Data Governance
With the ubiquitous use of digital technologies and the consequent data deluge, official statistics faces new challenges and opportunities. In this context, strengthening official statistics through effective data governance will be crucial to ensure reliability, quality, and access to data. This paper presents a comprehensive framework for digital data governance for official statistics, addressing key components, such as data collection and management, processing and analysis, data sharing and dissemination, as well as privacy and ethical considerations. The framework integrates principles of data governance into digital statistical processes, enabling statistical organizations to navigate the complexities of the digital environment. Drawing on case studies and best practices, the paper highlights successful implementations of digital data governance in official statistics. The paper concludes by discussing future trends and directions, including emerging technologies and opportunities for advancing digital data governance.
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来源期刊
Big Data and Cognitive Computing
Big Data and Cognitive Computing Business, Management and Accounting-Management Information Systems
CiteScore
7.10
自引率
8.10%
发文量
128
审稿时长
11 weeks
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