恶性问题的数据治理:泰国卫生系统案例

IF 1.1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Panom Gunawong
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引用次数: 0

摘要

本研究探讨了多机构组织中的数据治理实践如何在努力解决邪恶问题的过程中体现出来。本研究采用数据治理框架来分析负责泰国鸦片成瘾和治疗项目的工作组。该框架包括五个数据决策域:数据原则、数据质量、元数据、数据访问和数据生命周期。结果表明,工作组在相关机构中没有强有力的数据原则,并面临地方障碍。这导致了其他四个领域的不确定性。不过,工作组通过改进其具体方法取得了一些有效成果,这种方法考虑到了各利益相关方在整个数据管理过程中动态适应的关系。工作组实施了本地化框架战略,其中包括八种方法:知识网络中的数据共识、强有力的结构、信息完整性和文化意识、组织整合的灵活性、动态调整过程、有效的信息共享、打破僵局和数据治理周期。所有这些战略方法都弥补了当前通用数据治理框架的不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data governance for wicked problems: A case from the Thai health system

This study examined how data governance practices in multi-agency organizations manifest while trying to solve a wicked problem. This study adopted the data governance framework to analyze the Working Group that is responsible for opium addiction and treatment projects in Thailand. This framework comprises five decision domains of data: data principles, data quality, metadata, data access, and data lifecycle. The results showed that the Working Group did not have strong data principles among the relevant agencies and faced local obstacles. This led to uncertainty in the other four areas. It demonstrated, however, some effective outcomes by improvising its specific approach, which considers the relationships between various stakeholders in their dynamic adaptations within the overall data governance process. The Working Group practiced localized framework strategies, which consisted of eight approaches: data consensus in the knowledge network, strong structure, information integrity and cultural awareness, flexibility of organizational integration, dynamic adjustment process, effective information sharing, unlocking stagnations, and data governance cycles. All these strategic approaches compensated for the low performance of the current universal data governance framework.

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来源期刊
CiteScore
3.60
自引率
15.40%
发文量
51
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