The DART team is responsible for fulfilling ad hoc data requests that come in to the Analysis Division, FMCSA. The DART system tracks these requests, stores any coding and results, and performs internal reporting about requests received.

This dataset contains data collected during a study "Smarter open government data for Society 5.0: are your open data smart enough" (Sensors. 2021; 21(15):5204) conducted by Anastasija Nikiforova (University of Latvia). It being made public both to act as supplementary data for "Smarter open government data for Society 5.0: are your open data smart enough" paper and in order for other researchers to use these data in their own work.

The data in this dataset were collected in the result of the inspection of 60 countries and their OGD portals (total of 51 OGD portal in May 2021) to find out whether they meet the trends of Society 5.0 and Industry 4.0 obtained by conducting an analysis of relevant OGD portals.

Each portal has been studied starting with a search for a data set of interest, i.e. “real-time”, “sensor” and “covid-19”, follwing by asking a list of additional questions. These questions were formulated on the basis of combination of (1) crucial open (government) data-related aspects, including open data principles, success factors, recent studies on the topic, PSI Directive etc., (2) trends and features of Society 5.0 and Industry 4.0, (3) elements of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use Model (UTAUT).

The method used belongs to typical / daily tasks of open data portals sometimes called “usability test” – keywords related to a research question are used to filter data sets, i.e. “real-time”, “real time” and “real time”, “sensor”, covid”, “covid-19”, “corona”, “coronavirus”, “virus”. In most cases, “real-time”, “sensor” and “covid” keywords were sufficient. The examination of the respective aspects for less user-friendly portals was adapted to particular case based on the portal or data set specifics, by checking: 1. are the open data related to the topic under question ({sensor; real-time; Covid-19}) published, i.e. available? 2. are these data available in a machine-readable format? 3. are these data current, i.e. regularly updated? Where the criteria on the currency depends on the nature of data, i.e. Covid-19 data on the number of cases per day is expected to be updated daily, which won’t be sufficient for real-time data as the title supposes etc. 4. is API ensured for these data? having most importance for real-time and sensor data; 5. have they been published in a timely manner? which was verified mainly for Covid-19 related data. The timeliness is assessed by comparing the dates of the first case identified in a given country and the first release of open data on this topic. 6. what is the total number of available data sets? 7. does the open government data portal provides use-cases / showcases?
8. does the open government portal provide an opportunity to gain insight into the popularity of the data, i.e. does the portal provide statistics of this nature, such as the number of views, downloads, reuses, rating etc.? 9. is there an opportunity to provide a feedback, comment, suggestion or complaint? 10. (9a) is the artifact, i.e. feedback, comment, suggestion or complaint, visible to other users?

Format of the file .xls, .ods, .csv (for the first spreadsheet only)

Licenses or restrictions CC-BY

For more info, see README.txt

The EUAS application is a web based system which serves Energy Center of Expertise, under the Office of Facilitates Management and Service Programs. EUAS is used for tracking energy details for various energy sources namely electricity, natural gas, oil, chilled water, steam and renewable energy.

Snapshot img

Government Open Data Management Platform Market Size 2024-2028

The government open data management platform market size is forecast to increase by USD 96.48 million at a CAGR of 9.73% between 2023 and 2028.

The market is experiencing significant growth due to the increasing demand for digitalization in government operations. This trend is driving the adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) in open data management platforms. However, data privacy concerns remain a major challenge for market growth. As governments look to make more data available to the public, ensuring the security and confidentiality of sensitive information is paramount. This report provides a comprehensive analysis of these trends and challenges, offering insights into the market's future direction. The rising demand for transparency and accountability in government operations is also fueling the adoption of open data platforms.However, the implementation of stringent data security measures is essential to mitigate the risks associated with data breaches and unauthorized access. Overall, the market is expected to witness steady growth In the coming years, driven by the increasing adoption of digital technologies and the need for more efficient and effective government services.

What will be the Size of the Government Open Data Management Platform Market During the Forecast Period?

Request Free SampleThe market encompasses solutions that facilitate the enhancement, sharing, cataloging, storage, publication, and download of machine-readable data through central web portals. This market is experiencing significant growth due to the increasing demand for open data access from various stakeholders, including government employees, lay citizens, and civic hackers. An integrated software suite for open data management offers metadata management capabilities, data analytics tools, and machine learning algorithms to improve data quality and usability. The market's size is expanding as governments worldwide recognize the potential of open data to drive innovation, transparency, and accountability. For-profit companies are increasingly collaborating with governments to provide comprehensive open data management platforms, ensuring interoperability and standardization across various data sources.Overall, the market is poised for continued growth as more organizations embrace the benefits of open data and the need for efficient, accessible, and secure data management solutions.

How is this Government Open Data Management Platform Industry segmented and which is the largest segment?

The government open data management platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. End-userLarge enterprisesSMEsDeploymentOn-premisesCloud-basedGeographyNorth AmericaCanadaUSEuropeUKFranceAPACSouth AmericaMiddle East and Africa

By End-user Insights

The large enterprises segment is estimated to witness significant growth during the forecast period. Government Open Data Management Platforms (ODMPs) serve as crucial tools for large enterprises to access, analyze, and derive valuable insights from data published by government agencies. These platforms offer a wealth of information on various sectors, including demographics, socioeconomic factors, infrastructure, and more. By leveraging this data, enterprises can gain a deeper understanding of market trends, consumer behavior, and emerging opportunities. Additionally, ODMPs can help reduce costs by enabling identification of new suppliers, optimization of supply chains, and improvement of energy efficiency. The holistic evaluation of ODMPs encompasses an integrated software suite, open data portal, metadata management, data analytics, enhancement, sharing, data cataloging, data storage, data publication, and machine-readable formats.These platforms offer a central web portal for easy access by citizens, civic hackers, for-profit companies, and government organizations. Technological advancements, such as cloud computing, IoT technologies, and investments in industry verticals, continue to drive developments in ODMPs. Success factors include instantaneous data processing, unification of data, segmentation of users, and understanding behavior patterns to cater to targeted markets. Marketers can utilize ODMPs to personalize ads and access customer data, environmental data, sensor data, and spatial data storage. System integrators and intermediaries play a key role in implementing and optimizing these platforms for their clients. Current priorities for ODMPs include ensuring security, interoperability, and scalability.

Get a glance at the market report of various segments Request Free Sample

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The data were collected during the user-centered analysis of usability of 41 open government data portals including EU27, applying a common methodology to them, considering aspects such as specification of open data set, feedback and requests, further broken down into 14 sub-criteria. Each aspect was assessed using a three-level Likert scale (fulfilled - 3, partially fulfilled - 2, and unfulfilled – 1), that belongs to the acceptability tasks. This dataset summarises a total of 1640 protocols obtained during the analysis of the selected portals carried out by 40 participants, who were selected on a voluntary basis. This is complemented with 4 summaries of these protocols, which include calculated average scores by category, aspect and country. These data allow comparative analysis of the national open data portals, help to find the key challenges that can negatively impact users’ experience, and identifies portals that can be considered as an example for the less successful open data portals.

This dataset contains data collected during a study ("An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries") conducted by Fillip Molodtsov and Anastasija Nikiforova (University of Tartu).

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 develop user-friendly, collaborative, robust, and sustainable open data portals.

Purpose of the study

This paper develops an integrated framework for evaluating OGD portal effectiveness that accommodates user diversity (regardless of their data literacy and language), evaluates collaboration and participation, and the ability of users to explore and understand the data provided through them.

The framework is validated by applying it to 33 national portals across European Union (EU) and Gulf Cooperation Council (GCC) countries, as a result of which we rank OGD portals, identify some good practices that lower-performing portals can learn from, and common shortcomings.

Methodology

(1) systematic literature review to establish a knowledge base and identify frameworks have been used to evaluate OGD portals, we conducted a systematic literature review - Dataset_ Usability_Framework_SLR;

(2) development of the Integrated Usability Framework for Evaluating Open Government Data Portals, which content is based on the outputs of the first step, along with selected articles of experts in portal design, and an exploratory assessment of the French, Irish, Estonian and Spanish portals - Dataset_Integrated_Usability_Framework;

(3) data collection, that is a completion of the protocol developed in the previous step by analysing 34 national OGD portals of the EU and GCC countries. When all individual protocols were collected, the total score are calculated using the weighting system. The average scores are calculated for the EU and GCC. The portals are ranked. The top portals (best performers) are determined for each dimension - Dataset_EU_GCC_OGDportal_Usability_results_clustering.

(4) identification of relationships and patterns among different portals based on their performance metrics as a result of the cluster analysis. By calculating the average dimensional scores of portals from both types of clusters, their performance across multiple dimensions is evaluated - Dataset_EU_GCC_OGDportal_Usability_results_clustering.

For more details see Molodtsov, F., Nikiforova, A. (2024). “An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries”. In Proceedings of the 25th Annual International Conference on Digital Government Research (DGO 2024), June 11--14, 2024, Taipei, Taiwan, 10.1145/3657054.3657159

Format of the file

.xls, .csv

Licenses or restrictions

CC-BY

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.

Quantitative public financial management research focused on local governments is limited by the absence of a common database for empirical analysis. While the U.S. Census Bureau distributes government finance data that some scholars have utilized, the arduous process of collecting, interpreting, and organizing the data has led its adoption to be prohibitive and inconsistent. In this article we offer a single, coherent resource that contains all of the government financial data from 1967-2012, uses easy to understand natural-language variable names, and will be extended when new data is available.

Graph and download economic data for Government current expenditures: State and local: Housing and community services (G161001A027NBEA) from 1959 to 2023 about community, state & local, expenditures, government, services, housing, GDP, and USA.

Conduct data analysis

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

This list contains the government API cases collected, cleaned and analysed in the APIs4DGov study "Web API landscape: relevant general purpose ICT standards, technical specifications and terms".

The list does not represent a complete list of all government cases in Europe, as it is built to support the goals of the study and is limited to the analysis and data gathered from the following sources:

• The EU open data portal

• The European data portal

• The INSPIRE catalogue

• JoinUp: The API cases collected from the European Commission JoinUp platform

• Literature-document review: the API cases gathered from the research activities of the study performed till the end of 2019

• ProgrammableWeb: the ProgrammableWeb API directory

• Smart 2015/0041: the database of 395 cases created by the study ‘The project Towards faster implementation and uptake of open government’ (SMART 2015/0041).

• Workshops/meetings/interviews: a list of API cases collected in the workshops, surveys and interviews organised within the APIs4DGov

Each API case is classified accordingly to the following rationale:

• Unique id: a unique key of each case, obtained by concatenating the following fields: (Country Code) + (Governmental level) + (Name Id) + (Type of API)

• API Country or type of provider: the country in which the API case has been published

• API provider: the specific provider that published and maintain the API case

• Name Id: an acronym of the name of the API case (it can be not unique)

• Short description

• Type of API: (i) API registry, a set, catalogue, registry or directory of APIs; (ii) API platform: a platform that supports the use of APIs; (iii) API tool: a tool used to manage APIs; (iv) API standard: a set of standards related to government APIs; (v) Data catalogue, an API published to access metadata of datasets, normally published by a data catalogue; (vi) Specific API, a unique (can have many endpoints) API built for a specific purpose

• Number of APIs: normally only one, in the case of API registry, the number of APIs published by the registry at the 31/12/2019

• Theme: list of domains related to the API case (controlled vocabulary)

• Governmental level: the geographical scope of the API (city, regional, national or international)

• Country code: the country two letters internal code

• Source: the source (among the ones listed in the previous) from where the API case has been gathered

Fiscal Analysis reports from the Legislative Policy Division of the Detroit City Council. For more information see https://detroitmi.gov/government/city-council/legislative-policy-division/fiscal-analysis-reports

The data and programs replicate tables and figures from "A Unified Welfare Analysis of Government Policies", by Hendren and Sprung-Keyser. Please see the Readme file for additional details.

The Government Open Data Management (ODM) platform market is projected to grow exponentially in the coming years, with a market size of approximately XXX million in 2023 and a CAGR of XX% during the forecast period of 2023-2033. The increasing demand for data transparency and accountability by government agencies is driving this growth, as governments worldwide recognize the benefits of making their data accessible to the public. Key trends in the ODM market include the adoption of cloud-based solutions, the rise of open data standards, and the growing use of data analytics to extract insights from open data. The increasing reliance on technology and the proliferation of government data also drive the market growth. Furthermore, the growing demand for data privacy and security measures further fuels the market expansion, as governments prioritize protecting sensitive data while promoting data sharing.

This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of the Change in Excess of Liabilities. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

Abstract Recent studies show that the concept of smart government and its respective dimensions are not yet consolidated. The issue of the efficiency of public activity suggests that smart government should be recognized and better explored in public management. This study brings an original contribution to the literature, presenting an analysis of the recognition, importance, and application of the concept’s dimensions from the perspective of public managers. Adopting a qualitative and exploratory approach, operationalized through interviews with public managers in the South of Brazil, we sought to identify the dimensions of smart government that are recognized and applied by public managers. The results show the concept’s importance and its application and benefits in public administration. The findings point out the most influencital dimensions and their importance in the process, with emphasis on the organizational culture and the organization of data and public information.

This dataset contains data collected during a study "Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries" conducted by Martin Lnenicka (University of Pardubice, Pardubice, Czech Republic), Anastasija Nikiforova (University of Tartu, Tartu, Estonia), Mariusz Luterek (University of Warsaw, Warsaw, Poland), Petar Milic (University of Pristina - Kosovska Mitrovica, Kosovska Mitrovica, Serbia), Daniel Rudmark (University of Gothenburg and RISE Research Institutes of Sweden, Gothenburg, Sweden), Sebastian Neumaier (St. Pölten University of Applied Sciences, Austria), Caterina Santoro (KU Leuven, Leuven, Belgium), Cesar Casiano Flores (University of Twente, Twente, the Netherlands), Marijn Janssen (Delft University of Technology, Delft, the Netherlands), Manuel Pedro Rodríguez Bolívar (University of Granada, Granada, Spain).

It is being made public both to act as supplementary data for "Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries", Government Information Quarterly*, and in order for other researchers to use these data in their own work.

***Methodology***

The paper focuses on benchmarking of open data initiatives over the years and attempts to identify patterns observed among European countries that could lead to disparities in the development, growth, and sustainability of open data ecosystems.

This study examines existing benchmarks, indices, and rankings of open (government) data initiatives to find the contexts by which these initiatives are shaped, both of which then outline a protocol to determine the patterns. The composite benchmarks-driven analytical protocol is used as an instrument to examine the understanding, effects, and expert opinions concerning the development patterns and current state of open data ecosystems implemented in eight European countries - Austria, Belgium, Czech Republic, Italy, Latvia, Poland, Serbia, Sweden. 3-round Delphi method is applied to identify, reach a consensus, and validate the observed development patterns and their effects that could lead to disparities and divides. Specifically, this study conducts a comparative analysis of different patterns of open (government) data initiatives and their effects in the eight selected countries using six open data benchmarks, two e-government reports (57 editions in total), and other relevant resources, covering the period of 2013–2022.

***Description of the data in this data set***

The file "OpenDataIndex_2013_2022" collects an overview of 27 editions of 6 open data indices - for all countries they cover, providing respective ranks and values for these countries. These indices are:

1) Global Open Data Index (GODI) (4 editions)

2) Open Data Maturity Report (ODMR) (8 editions)

3) Open Data Inventory (ODIN) (6 editions)

4) Open Data Barometer (ODB) (5 editions)

5) Open, Useful and Re-usable data (OURdata) Index (3 editions)

6) Open Government Development Index (OGDI) (2 editions)

These data shapes the third context - open data indices and rankings. The second sheet of this file covers countries covered by this study, namely, Austria, Belgium, Czech Republic, Italy, Latvia, Poland, Serbia, Sweden. It serves the basis for Section 4.2 of the paper.

Based on the analysis of selected countries, incl. the analysis of their specifics and performance over the years in the indices and benchmarks, covering 57 editions of OGD-oriented reports and indices and e-government-related reports (2013-2022) that shaped a protocol (see paper, Annex 1), 102 patterns that may lead to disparities and divides in the development and benchmarking of ODEs were identified, which after the assessment by expert panel were reduced to a final number of 94 patterns representing four contexts, from which the recommendations defined in the paper were obtained. These patterns are available in the file "OGDdevelopmentPatterns". The first sheet contains the list of patterns, while the second sheet - the list of patterns and their effect as assessed by expert panel.

***Format of the file***
.xls, .csv (for the first spreadsheet only)

***Licenses or restrictions***
CC-BY

For more info, see README.txt

Graph and download economic data for Federal government consumption expenditures: Gross output of general government (W110RC1Q027SBEA) from Q1 1947 to Q1 2025 about output, gross, federal, consumption expenditures, consumption, government, GDP, and USA.