SEM-Based Value Generation Mechanism from Open Government Data in Environment/Weather Sector

2017 ◽  
pp. 351-366
Author(s):  
Xiaoling Song ◽  
Charles Shen ◽  
Lin Zhong ◽  
Feniosky Peña-Mora
Keyword(s):  
Generation Mechanism ◽  
Open Government ◽  
Open Government Data ◽  
Government Data

scholarly journals A methodology for determining the value generation mechanism and the improvement priorities of open government data systems

2016 ◽  
Vol 13 (1) ◽  
pp. 237-258 ◽  
Author(s):  
Charalampos Alexopoulos ◽  
Euripides Loukis ◽  
Yannis Charalabidis
Keyword(s):  
Information Systems ◽  
Decision Support Tool ◽  
Generation Mechanism ◽  
Open Government ◽  
Data Systems ◽  
Support Tool ◽  
Open Government Data ◽  
Data Provision ◽  
Government Data ◽  
Value Model

Government agencies all over the world are making big investments for developing information systems that open important data they possess to the society, in order to be used for scientific, commercial and political purposes. It is important to understand what value they create and how, and at the same time - since this is a relatively new type of information systems (IS) - to identify the main improvements they require. This paper contributes in this direction by presenting a methodology for determining the value generation mechanism of open government data (OGD) systems and also priorities for their improvement. It is based on the estimation of a ?value model? of the OGD system under evaluation from users? ratings, which consists of several value dimensions and their corresponding value measures, organized in three ?value layers?, and also the relations among them. The proposed methodology has been successfully applied to an OGD system developed as part of the European project ENGAGE (?An Infrastructure for Open, Linked Governmental Data Provision towards Research Communities and Citizens?), and provided interesting insights and improvement priorities. This first application provides evidence that our methodology can be a useful decision support tool for important ODG systems investment, management and improvement decisions.

scholarly journals Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5204
Author(s):  
Anastasija Nikiforova
Keyword(s):  
Industry 4.0 ◽  
Economic Value ◽  
Open Data ◽  
Digital Data ◽  
Open Government ◽  
Data Sets ◽  
Time Data ◽  
Open Government Data ◽  
Information And Communication ◽  
Government Data

Nowadays, governments launch open government data (OGD) portals that provide data that can be accessed and used by everyone for their own needs. Although the potential economic value of open (government) data is assessed in millions and billions, not all open data are reused. Moreover, the open (government) data initiative as well as users’ intent for open (government) data are changing continuously and today, in line with IoT and smart city trends, real-time data and sensor-generated data have higher interest for users. These “smarter” open (government) data are also considered to be one of the crucial drivers for the sustainable economy, and might have an impact on information and communication technology (ICT) innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. The paper inspects OGD portals of 60 countries in order to understand the correspondence of their content to the Society 5.0 expectations. The paper provides a report on how much countries provide these data, focusing on some open (government) data success facilitating factors for both the portal in general and data sets of interest in particular. The presence of “smarter” data, their level of accessibility, availability, currency and timeliness, as well as support for users, are analyzed. The list of most competitive countries by data category are provided. This makes it possible to understand which OGD portals react to users’ needs, Industry 4.0 and Society 5.0 request the opening and updating of data for their further potential reuse, which is essential in the digital data-driven world.

Evaluating global open government data

2020 ◽  
Author(s):  
Lei Zheng ◽  
Wai-Min Kwok ◽  
Vincenzo Aquaro ◽  
Xinyu Qi ◽  
Wenzeng Lyu
Keyword(s):  
Open Government ◽  
Open Government Data ◽  
Government Data

Ranking hospitals’ burn care capacity using cluster analysis on open government data

2021 ◽  
pp. 106166
Author(s):  
HuiYan Ho ◽  
Sheuwen Chuang ◽  
Niann-Tzyy Dai ◽  
Chia-Hsin Cheng ◽  
Wei-Fong Kao
Keyword(s):  
Cluster Analysis ◽  
Open Government ◽  
Burn Care ◽  
Open Government Data ◽  
Government Data ◽  
Care Capacity

scholarly journals Open Government Data: A Stage Model

2011 ◽  
pp. 235-246 ◽  
Author(s):  
Evangelos Kalampokis ◽  
Efthimios Tambouris ◽  
Konstantinos Tarabanis
Keyword(s):  
Open Government ◽  
Stage Model ◽  
Open Government Data ◽  
Government Data

scholarly journals Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

2021 ◽  
Vol 16 (4) ◽  
pp. 1042-1065
Author(s):  
Anne Gottfried ◽  
Caroline Hartmann ◽  
Donald Yates
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Open Government ◽  
Open Government Data ◽  
Market Opportunities ◽  
Government Data ◽  
Source Of Information

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.

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