This dataset lists suggestions received through the CT Open Data Dataset Suggestion survey here: https://data.ct.gov/stories/s/eivh-c3ze.

This dataset consolidates quarterly progress for Canada’s 2022-2024 National Action Plan on Open Government

This dataset contains data collected during a study "Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities" (Sustainable Cities and Society (SCS), vol.82, 103906) conducted by Martin Lnenicka (University of Pardubice), Anastasija Nikiforova (University of Tartu), Mariusz Luterek (University of Warsaw), Otmane Azeroual (German Centre for Higher Education Research and Science Studies), Dandison Ukpabi (University of Jyväskylä), Visvaldis Valtenbergs (University of Latvia), Renata Machova (University of Pardubice).

This study inspects smart cities’ data portals and assesses their compliance with transparency requirements for open (government) data by means of the expert assessment of 34 portals representing 22 smart cities, with 36 features.

It being made public both to act as supplementary data for the paper and in order for other researchers to use these data in their own work potentially contributing to the improvement of current data ecosystems and build sustainable, transparent, citizen-centered, and socially resilient open data-driven smart cities.

Purpose of the expert assessment The data in this dataset were collected in the result of the applying the developed benchmarking framework for assessing the compliance of open (government) data portals with the principles of transparency-by-design proposed by Lněnička and Nikiforova (2021)* to 34 portals that can be considered to be part of open data ecosystems in smart cities, thereby carrying out their assessment by experts in 36 features context, which allows to rank them and discuss their maturity levels and (4) based on the results of the assessment, defining the components and unique models that form the open data ecosystem in the smart city context.

Methodology Sample selection: the capitals of the Member States of the European Union and countries of the European Economic Area were selected to ensure a more coherent political and legal framework. They were mapped/cross-referenced with their rank in 5 smart city rankings: IESE Cities in Motion Index, Top 50 smart city governments (SCG), IMD smart city index (SCI), global cities index (GCI), and sustainable cities index (SCI). A purposive sampling method and systematic search for portals was then carried out to identify relevant websites for each city using two complementary techniques: browsing and searching. To evaluate the transparency maturity of data ecosystems in smart cities, we have used the transparency-by-design framework (Lněnička & Nikiforova, 2021)*. The benchmarking supposes the collection of quantitative data, which makes this task an acceptability task. A six-point Likert scale was applied for evaluating the portals. Each sub-dimension was supplied with its description to ensure the common understanding, a drop-down list to select the level at which the respondent (dis)agree, and a comment to be provided, which has not been mandatory. This formed a protocol to be fulfilled on every portal. Each sub-dimension/feature was assessed using a six-point Likert scale, where strong agreement is assessed with 6 points, while strong disagreement is represented by 1 point. Each website (portal) was evaluated by experts, where a person is considered to be an expert if a person works with open (government) data and data portals daily, i.e., it is the key part of their job, which can be public officials, researchers, and independent organizations. In other words, compliance with the expert profile according to the International Certification of Digital Literacy (ICDL) and its derivation proposed in Lněnička et al. (2021)* is expected to be met. When all individual protocols were collected, mean values and standard deviations (SD) were calculated, and if statistical contradictions/inconsistencies were found, reassessment took place to ensure individual consistency and interrater reliability among experts’ answers. *Lnenicka, M., & Nikiforova, A. (2021). Transparency-by-design: What is the role of open data portals?. Telematics and Informatics, 61, 101605 *Lněnička, M., Machova, R., Volejníková, J., Linhartová, V., Knezackova, R., & Hub, M. (2021). Enhancing transparency through open government data: the case of data portals and their features and capabilities. Online Information Review.

Test procedure (1) perform an assessment of each dimension using sub-dimensions, mapping out the achievement of each indicator (2) all sub-dimensions in one dimension are aggregated, and then the average value is calculated based on the number of sub-dimensions – the resulting average stands for a dimension value - eight values per portal (3) the average value from all dimensions are calculated and then mapped to the maturity level – this value of each portal is also used to rank the portals.

Description of the data in this data set Sheet#1 "comparison_overall" provides results by portal Sheet#2 "comparison_category" provides results by portal and category Sheet#3 "category_subcategory" provides list of categories and its elements

Format of the file .xls

Licenses or restrictions CC-BY

For more info, see README.txt

The Open Government Guidebook was originally developed in 2018, through collaboration with working group members from over 25 Government of Canada (GC) departments. Through consultations with many of these departments from 2020 to 2021, this guide was updated to reflect the most recent international practices in open government. It aims to provide direction, best practices and tools to learn more about open government processes for the GC. It also outlines implementation guidance for relevant policy instruments including the Policy on Service and Digital, the Guideline on Service and Digital and the Directive on Open Government – all of which help ensure consistent approaches to open data and information practices across government.

The data includes the goals of different Open Government Data Initiatives all over the world. It also contains information about the level to which these goals are achieved. Next to that the data contains info about the specific initiatives including the geographical level and the involved actors.

Abstract The objective of this article is to use the DGABr, an alternative metric created, in a doctoral thesis of 2018, to evaluate the Open Government Data of Brazil, to measure the open government data of other Latin American countries. The overall objective was subdivided into three specific objectives: (1) Identify the countries of Latin America that have defi ned access to information/opendata policy legislation; (2) Identify the most comprehensive legislation and criteria for assessing open government data; and (3) Analyzethe DGABr based on other legislation and propose adjustments for its use in other countries. In this sense, the legislation on access to information of Latin American countries was investigated, based on the Global Right to Information Rating ranking, which assesses legislation on access to information worldwide. The legislation of Mexico was chosen as reference for comparison with the DGABr,having reached in the ranking, the highest score in Latin America. Analyzing Mexican legislation, items to be included in the DGABr wereidentified and many similarities were already evaluated by the DGABr. It is concluded that the DGABr allows adaptations and can be used in different contexts and countries of Latin America.

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.

ABSTRACT Open government data can be considered as an important initiative of institutions of civil society, promoting transparency and allowing its reuse as an input in the development of innovation projects. However, it is common for certain databases to require the application of specific treatments, so that the data can be used more efficiently, such as the case of classification using Data Mining. In this scenario, this paper presents an automatic topic inference proposal using the Latent Dirichlet Allocation method to classify cultural projects in their thematic areas, by identifying the similarity in their data. The results demonstrate the feasibility of the approach in the context of open government data.

Research data and instruments used in the paper entitled "Open Government in São Paulo: An Analysis of Open Public Policies" published in Revista de Administração Contemporânea (RAC).

Data set provides agency contact telephone, remarks, etc.

The plan serves as the roadmap for NSF's plans to improve transparency, better integrate public participation and collaboration into the core mission, and become more innovative and efficient.

The Open Government Implementation Plan document describes the Public Service Commission of Canada’s (PSC) planned activities and deliverables aligned based on the requirements of the Directive on Open Government.

Human resources data

The datasets designated in this article were collected in two months between June and July 2020 by distributing self-administered questionnaire through online google form. The aim of study was to investigate the factors Influencing users' acceptance of open government data (OGD) in Indonesia.

This systematic review of the literatu was conducted with the PRISMA method, to explore the contexts in which the use of open government data germinates, identifying barriers to its use and identifying, the role of data literacy among those barriers to use; and the role of open data in promoting informal learning that supports the development of critical data literacy. This file includes a codebook of the main characteristics that were studied in a systematic literature review, where data from 66 articles related to Open Data Usage were identified and coded. Also, the file includes an analysis of Cohen's Kappa, a concordance statistic used to measure the level of agreement among researchers in classifying articles on the characteristics defined in the Codebook. Finally, it includes main tables of the results' analysis.

An incomplete collection of open data domains throughout the U.S. (intended for comparison with King County open data)

Open government data (OGD) paradigm gained momentum in the recent years resulting in numerous OGD initiatives. These initiatives assured reliable and faster development of open data ecosystem on different administration levels. Diversity of government organizations dealing with different kinds of data, however, resulted in a variety of OGD initiatives. As a direct result, OGD portals developed through these initiatives show different functionalities, characteristics, and quality of provided data and services. This paper therefore aims to provide a better insight into the similarities and differences of data portals by analyzing their characteristics from thematical, semantical, functional, and technological perspective. The methodology used relies on the framework previously developed and implemented in Greece in 2015, consisting of multiple indicators assessing different characteristics of portals, in each of four perspectives. Results of the assessment show Croatian portals have well developed functionalities but also have limitations preventing data reuse. These limitations are mostly related to data discovery and absence of metadata and licenses by the publishing institutions.

This is the data set that includes rankings of competing definitions of open government by a sample of Canadian journalists, parliamentarians and bloggers.

The specifications and guidelines in this Data Management Plan will improve data consistency and availability of information. It will ensure that all levels of government and the public have access to the most up-to-date information; reduce or eliminate overlapping data requests and redundant data maintenance; ensure metadata is consistently created; and ensure that data services can be displayed by the consumer with the output of its choice.

The Multi-stakeholder Forum (MSF) on Open Government supports ongoing dialogue between government and Canadian civil society on open government. Its mandate is to provide input and advice on the Government of Canada’s commitments on open government, identify new areas of focus, and build the open government community across Canada. The Multi-Stakeholder Forum is composed of twelve members, eight from civil society and four from the Government of Canada. The Open Government Partnership (OGP) considers having a Forum to be a best practice, creating a permanent mechanism for civil society guidance and oversight. Canada’s Multi-Stakeholder Forum launched on January 24, 2018. Members have developed terms of reference to guide and govern the forum. On this page, you will find documents related to the Multi-stakeholder Forum on Open Government.