A Study on the Policy of Open Government Data Using a Dynamic Ecosystem Model 


Vol. 46,  No. 11, pp. 1927-1940, Nov.  2021
10.7840/kics.2021.46.11.1927


PDF
  Abstract

The open government data policy has been promoted at the government level since 2013 as well as the implementation of the Open Data Act. Although South Korea initiated its open government data policy later than other countries, the OECD ranked South Korea first in the OECD open government data evaluation two consecutive times. Despite these achievements, there has been almost no academic discussion on open government data policy. This studyattempts to analyze the changes in open government data policy from 2013 to 2016 from an ecosystem viewpoint to fill this academic gap. The ecosystem perspective is a widely used model in domestic and international academic circles. It has the merit of avoiding the burial of simple indicators and making it possible to analyze the creation, opening, utilization, and performance of public data from a consistent perspective. However, we learned from existing literature that open government data policies can change the actor, data flow, and interaction, which are major elements of an ecosystem according to time factors. The importance of these dynamic factors has had a large impact. Dynamic factors are derived through open government policies closely related to public open data policy. Therefore, this study suggests a dynamic ecosystem model, which analyzes the policy of South Korea"s public data opening step-by-step, according to time factors. As a result of the analysis, it is determined that overall, the open government system is excellent. Especially, the early stage of germination (seed stage) was excellent in terms of the legal system, priority, and promotion system. In addition, the Incubating Stage was evaluated to be excellent in terms of jobs related to data use and startups using public data in the service sector. However, in the long-term Growth Stage, the feedback system of the policy, citizens’ participation, and the policy base for community activities were improved in the feedback and communication sector and the policy sector. Future open government data policies need to focus more on minor improvements.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

S. Seokhyun, "A Study on the Policy of Open Government Data Using a Dynamic Ecosystem Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 11, pp. 1927-1940, 2021. DOI: 10.7840/kics.2021.46.11.1927.

[ACM Style]

Song Seokhyun. 2021. A Study on the Policy of Open Government Data Using a Dynamic Ecosystem Model. The Journal of Korean Institute of Communications and Information Sciences, 46, 11, (2021), 1927-1940. DOI: 10.7840/kics.2021.46.11.1927.

[KICS Style]

Song Seokhyun, "A Study on the Policy of Open Government Data Using a Dynamic Ecosystem Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 11, pp. 1927-1940, 11. 2021. (https://doi.org/10.7840/kics.2021.46.11.1927)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880