What makes a datasite effective? Government stakeholder were asked to select from multiple features that make their datasite more effective. Results are presented by feature, shown as a % of respondents, for all government types combined.
Ranked categories of data based on government respondents' rating of what is important to publish. Results are presented in terms of %, for all types of government combined.
Citizen respondents rate their satisfaction level with their governments' efforts to become more open. Survey responses are broken down by government type (Federal, State and Local) and along several dimensions in the respondent pool, including Region, Education Level, Gender and Household (HH) Income.
Respondents who said, "yes, we have an open government mandate" were then asked if it was funded. Responses are tabulated by type of government showing the % of respondents in each group who selected, Yes, No, or Unsure.
Developers were asked: "When you can find the government data you need, how would you generally describe its accessibility and usability? Please rate the following statements." The statements deal with API access, data quality, documentation and other factors that make government data usable for developers
Respondents multi-selected between 6 choices to identify the main motivation for starting a data transparency initiative. Results can be grouped by country, type of government org and role of respondent. Choices included "no initiative" to account for those who did not have one.
Citizen respondents express their agreement or disagreement with several statements about Open Government and transparency. Survey responses are broken down along several dimensions in the respondent pool, including Region, Education Level, Gender and Household (HH) Income.
Citizen respondents rank how they want to interact with and consume government data. Survey responses are broken down along several dimensions including, Region, Education Level, Gender and Household (HH) Income.