A Comprehensive Method for Improving the Quality of Open Government Data and Increasing Citizens’ Willingness to Use Data by Analyzing the Complex System of Citizens and Organizations

Table 1

Reasons for using each method in the research process.

Phase	Method	Reason for using the method
1	Library studies	The reason for using library studies has been to extract comprehensive and effective dimensions and criteria in the quality of open government data.
2	Extracting organizations' data based on the criteria obtained from phase 1	The reason for extracting the data of the organizations in the open data portal was to identify the characteristics of each organization. In fact, the data of this phase constitute attributes in phase 4.
3	Analysis of the complex network of citizens and organizations	In addition to the data extracted in phase 2, which identifies the characteristics of each organization, it is necessary to identify the organizations whose data have been most desired and used by citizens. For this purpose, the indegree of each organization in the complex network of citizens and organizations, which indicates the number of visits to the data of the organization, has been used. In fact, the data of this phase form the labels in phase 4.
4	Using data mining techniques	After extracting the data from phase 2 as attributes and the data from phase 3 as labels, it is necessary to analyze the data in order to identify the positive or negative impact of each attribute on the label (number of visits) and also to calculate the weight and importance of each attribute.
5	Field method to provide solutions	The reason for using this phase is to extract solutions and identify cause-and-effect relationships between the solutions in order to improve citizens' interaction with open government data. Identifying the cause-and-effect relationships between solutions will help managers spend more time and cost on the solutions that have the greatest impact on other solutions.