Government Information Quarterly

This is an Excel spreadsheet containing links to 242 FOIA Libraries as of September 2019. This dataset provides naming conventions used, which allow government information consumers to locate U.S. federal agency FOIA content, which includes responsive documents and frequently requested agency records. This list of FOIA Libraries and related terminology (Electronic Reading Rooms) also helps researchers understand the evolution of FOIA Libraries.

Codebook and database on the votes on non-unanimous decisions (n=502) in an independent administrative tribunal (Consejo para la Transparencia) resolving freedom of information law cases between 2009-2017 in Chile. R-code for logistic model with pairs cluster bootstrapped t-statistics to account for votes nested in judges and obtain correct standard errors.

This dataset contains log files mentioned and explained along the text in sections 4.1 Access and 4.2 Classification.

Source code for algorithms mentioned and explained along the text in sections 4.1 Access and 4.2 Classification.

This is a list of articles used in a literature review on public engagement for scientific governance. Included are key texts for understanding the history of public engagement in the United Kingdom.

We have used Analytic Hierarchy Process (AHP) to derive the priorities of all the factors in the evaluation framework for open government data (OGD) portals. The results of AHP process were shown in the uploaded pdf file. We have collected 2635 open government datasets of 15 different subject categories (local statistics, health, education, cultural activity, transportation, map, public safety, policies and legislation, weather, environment quality, registration, credit records, international trade, budget and spend, and government bid) from 9 OGD portals in China (Beijing, Zhejiang, Shanghai, Guangdong, Guizhou, Sichuan, XInjiang, Hong Kong and Taiwan). These datasets were used for the evaluation of these portals in our study. The records of the quality and open access of these datasets could be found in the uploaded Excel file.

The data were collected on the basis of Justice in Numbers, published annually by the National Council of Justice, Brasilia, Brazil. The data refer to all Brazilian courts (State, Federal and Labor), and cover the period from 2009 to 2016.

Data are based on three sources: 1) own survey on municipalities, 2)Census conducted by the Slovak Statistical Office, and 3) electoral results of local elections in 2014. Dataset uses the municipalities (identified by their code) that gave us in survey some sort of response as well as those that did not. The dependent variable of analysis in accompanied paper variable is the response and it is coded into two categories. Value one is given to municipalities that sent us at least some information. These include both responses containing complete data for both local elections we were interested in as well as partially complete responses that included data for at least one of the two elections. In the event that a municipality sent a link, we accepted this as a response containing some information if the link led directly to the requested data or if it was accompanied with guidelines leading to this result. All other municipalities are given the value of zero on the dependent variable. These are municipalities that did not reply at all or they replied but without sending any data on candidates. 102 municipalities in our dataset had non-functioning e-mail addresses in the database; these generated automatic responses which are also coded as non-response. Other variables included in data are request type, affiliation of mayors , share of Hungarians, population size Variable request type has three categories associated with the versions of letters send to municipalities. The “control” category is comprised of municipalities who received a baseline letter, the “legal” variant is comprised of municipalities who received the letter with the paragraph referring to FOI law and the third category, the “moral appeal” variant, is comprised of municipalities that received a letter with the moral paragraph. Each category covers one third of municipalities The variable on mayors is categorical. It distinguishes two basic types of mayors – partisans and independents. In the case of the variable on Hungarian minority, we differentiate between four categories based on the municipal share of Hungarians. Population size is measured by number inhabitants according to the 2011 Census. We use a logged version of this variable.

Public administrations invest heavily in the development of ‘smart’ public services, including autonomous public service robots. Since public service robots are designed to operate unsupervised, robots must interact in an ethically acceptable way with citizens. Robots are often designed to provide a comfortable interaction with citizens, which can be achieved by making the robot's appearance and actions more human-like. This raises the question whether a human-like design affects the ethicalness evaluation of a robot's actions. In a laboratory experiment with eye-tracking (n1 = 156) and a representative, online vignette experiment (n2 = 1339), we find that a more human-like robot design draws more visual attention than a robot with a less human-like design. However, the robot's appearance does not affect the ethicalness evaluation of the robot's behavior. In contrast, our results show that it is not the more human-like appearance that influences evaluations of ethicalness, but a robot's ethical actions influence the extent to which it is perceived as human. We frame our findings in the scientific and practitioner debates on ethical rule-setting for (public) service robots.