Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/113033


Title: A theoretical framework for evaluating government open data platform
Authors: 朱斌妤
曾憲立
Chu, Pin Yu Veronica
Tseng, Hsien Lee
Contributors: 公行系
Keywords: Function evaluation;Transportation;Content analysis;E-governments;Open datum;Open Government Data (OGD);Performance assessment;Government data processing
Date: 2016-11
Issue Date: 2017-09-15 15:18:52 (UTC+8)
Abstract: Regarding Information and Communication Technologies (ICTs) in the public sector, electronic governance is the first emerged concept which has been recognized as an important issue in government's outreach to citizens since the early 1990s. The most important development of e-governance recently is Open Government Data, which provides citizens with the opportunity to freely access government data, conduct value-added applications, provide creative public services, and participate in different kinds of democratic processes. Open Government Data is expected to enhance the quality and efficiency of government services, strengthen democratic participation, and create interests for the public and enterprises. The success of Open Government Data hinges on its accessibility, quality of data, security policy, and platform functions in general. This article presents a robust assessment framework that not only provides a valuable understanding of the development of Open Government Data but also provides an effective feedback mechanism for mid-course corrections. We further apply the framework to evaluate the Open Government Data platform of the central government, on which open data of nine major government agencies are analyzed. Our research results indicate that Financial Supervisory Commission performs better than other agencies; especially in terms of the accessibility. Financial Supervisory Commission mostly provides 3-star or above dataset formats, and the quality of its metadata is well established. However, most of the data released by government agencies are regulations, reports, operations and other administrative data, which are not immediately applicable. Overall, government agencies should enhance the amount and quality of Open Government Data positively and continuously, also strengthen the functions of discussion and linkage of platforms and the quality of datasets. Aside from consolidating collaborations and interactions to open data communities, government agencies should improve the awareness and ability of personnel to manage and apply open data. With the improvement of the level of acceptance of open data among personnel, the quantity and quality of Open Government Data would enhance as well.
Relation: EGOSE '16 Proceedings of the International Conference on Electronic Governance and Open Society: Challenges in Eurasia , Pages 135-142
Data Type: conference
DOI 連結: http://dx.doi.org/10.1145/3014087.3014099
Appears in Collections:[公共行政學系] 會議論文

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