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http://dx.doi.org/10.22693/NIAIP.2020.27.4.024

Forecasting Open Government Data Demand Using Keyword Network Analysis  

Lee, Jae-won (National Information Society Agency)
Publication Information
Informatization Policy / v.27, no.4, 2020 , pp. 24-46 More about this Journal
Abstract
This study proposes a way to timely forecast open government data (OGD) demand(i.e., OGD requests, search queries, etc.) by using keyword network analysis. According to the analysis results, most of the OGD belonging to the high-demand topics are provided by the domestic OGD portal(data.go.kr), while the OGD related to users' actual needs predicted through topic association analysis are rarely provided. This is because, when providing(or selecting) OGD, relevance to OGD topics takes precedence over relevance to users' OGD requests. The proposed keyword network analysis framework is expected to contribute to the establishment of OGD policies for public institutions in the future as it can quickly and easily forecast users' demand based on actual OGD requests.
Keywords
open government data(OGD); offer request; keyword network analysis; demand forecasting; OGD policy;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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