通过实施基于SOA的数据治理设计开放的政府数据管理平台

Khairul Habibie, Suhardi, Wardani Muhamad
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引用次数: 1

摘要

政府数据公开是当前政府为实现善政而进行的数据公开举措之一。在金融组织的背景下,财政平衡总局(DJPK)根据DJPK的规定进行了数据治理,以支持“一个印度尼西亚数据”的实施,这是印度尼西亚政府开放数据政策的一种体现。为了支持数据治理的实现,需要一个平台来支持数据治理中可能发生的任何更改。目前的开放政府数据管理平台在数据治理方面还不能满足现有的策略,因此有必要增加能够支持数据治理实施的活动。本研究以综合知识档案网络(Comprehensive Knowledge Archive Network, CKAN)为基准。CKAN提供了许多与开放政府数据流相关的功能,从数据选择到数据可视化。设计科学研究方法论(Design Science Research Methodology, DSRM)是平台开发的方法论。生成的主要工件是作为开放政府数据管理平台的一部分的IT服务的设计,该平台具有支持数据治理活动的主要能力。为了确保最终的设计符合SOA原则:耦合、内聚、复杂性和可重用性,进行了设计评估,获得的结果分别为0.0049、0.9899、0.0050和2.9655。从这个分数可以看出,开放政府数据管理平台的设计遵循了SOA原则:松耦合、高内聚。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Open Government Data Management Platform Through the Implementation of Data Governance Based on SOA
Open government data is currently one of the government's initiatives regarding data disclosure to realize good governance. In the context of financial organization, Directorate General of Fiscal Balance (DJPK) has made data governance as outlined in the regulation of DJPK to support the implementation of One Indonesia Data as a manifestation of the open government data policy in Indonesia. To support the implementation of data governance, a platform is needed to support any changes that may occur in data governance. The current open government data management platform has not been able to fulfill the existing strategies in data governance, so it is necessary to add activities that can support the implementation of data governance. The platform chosen as the baseline in this research is the Comprehensive Knowledge Archive Network (CKAN). CKAN provides many features related to open government data flow, from data selection to data visualization. Design Science Research Methodology (DSRM) was chosen as the methodology used in developing the platform. The main artifact produced is the design of IT services as part of an open government data management platform that has the main ability to support data governance activities. To ensure the resulting design complies with SOA principles: coupling, cohesion, complexity, and reusability, a design evaluation was carried out and the results obtained were 0.0049, 0.9899, 0.0050, and 2.9655, respectively. From this score, it can be concluded that the open government data management platform design adheres to SOA principles: loose coupling and high cohesion.
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