Data released under the Department of Energy's (DOE) Open Energy Data Initiative (OEDI). The Open Energy Data Initiative aims to improve and automate access of high-value energy data sets across the U.S. Department of Energy’s programs, offices, and national laboratories. OEDI aims to make data actionable and discoverable by researchers and industry to accelerate analysis and advance innovation.

To the contents of the Central Bank's data openness action plan revised in December 2019, it is an open ODT file.

This dataset is a collection of:

1. The final SPSS dataset concerning the 171 Open Government Data Initiatives (OGDIs) analysed in this study;

2. The SPSS Output;

3. The Questionnaire used to collect information concerning the OGDIs;4. An Excel file with an overview of key information concerning the 171 selected OGDIs.

Global Government Open Data Management Platform Market size was valued at USD 1.75 Billion in 2024 and is projected to reach USD 3.38 Billion by 2032, growing at a CAGR of 8.54% from 2026 to 2032.

Global Government Open Data Management Platform Market Drivers

Increasing Demand for Transparency and Accountability: There is a growing public demand for transparency in government operations, which drives the adoption of open data initiatives. According to a survey by the World Bank, 85% of respondents in various countries indicated that transparency in government decisions is crucial for reducing corruption, prompting governments to implement open data platforms.

Technological Advancements: Rapid advancements in information and communication technology (ICT) facilitate the development and deployment of open data management platforms. The International Telecommunication Union (ITU) reported that global Internet penetration reached approximately 64% in 2023, enabling more citizens to access open data and engage with government services online.

Government Initiatives and Policies: Many governments are actively promoting open data through policies and initiatives. For instance, the U.S. government's Open Data Initiative, launched in 2013, has led to the publication of over 300,000 datasets on Data.gov. Additionally, the European Union's Open Data Directive, which aims to make public sector data available, is further encouraging governments to embrace open data practices.

The Open Data Portal (ODP) is our new hub for open data, built on the idea of finding several datasets in one platform so anyone can easily search and extract the data they need. The ODP is a unified platform that offers public patent data in one place. Enhanced APIs and robust documentation help improve the entire data experience. Customer demand for our data has grown rapidly since the launch of the original Open Data Portal initiative in 2015 � from 50 users to millions. The new Open Data Portal is the next step in the USPTO journey to amplify the public value, accessibility, and efficiency of patent data sharing. ODP will fold several data dissemination services into one central website that empowers you to rapidly discover and easily extract USPTO data however you want. Improved Patent Examination Data System (PEDS) capabilities, Bulk Data Storage System (BDSS), and Developer Hub features and datasets will be included in this tool.

Increase the quality and quantity of electric and gas data that is made available to the public. More open data is needed to understand current trends and effectively provide input to our utility companies.

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.

This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with 1395 annual simulations using the U.S. DOE detailed medium-sized reference office building, and 30 years' historical weather data in three typical climates including Miami, San Francisco, and Chicago. Three energy efficiency levels of the building and systems are considered. Assumptions regarding occupant movements, occupants' diverse temperature preferences, lighting, and MELs are adopted to reflect realistic building operations. A semantic building metadata schema - BRICK, is used to store the building metadata. The dataset is saved in a 1.2 TB of compressed HDF5 file. This dataset can be used in various applications, including building energy and load shape benchmarking, energy model calibration, evaluation of occupant and weather variability and their influences on building performance, algorithm development and testing for thermal and energy load prediction, model predictive control, policy development for reinforcement learning based building controls.

Net primary productivity (NPP) estimates were compiled by the Global Primary Production Data Initiative (GPPDI). The database covers 2,523 individual sites and 5,164 half-degree grid cells and underwent extensive review under the Ecosystem Model-Data Intercomparison (EMDI) process. The GPPDI database includes NPP measurements that were collected over a long time period by many investigators using a variety of methods. The measurements are categorized as either Class A, from intensively studied sites; Class B, from extensive sites; or reported as Class C, 0.5 latitude-longitude grid cells. The data set contains six comma-separated files (.csv format). There are two files for each class. One file for each class contains site locations, elevation, NPP estimates, climate data, biome and dominant species information, and references. The other file for each class contains model validation outlier flags derived from site-specific reviews. This document and a companion file (Olson et al., 2001) describe the compilation of NPP estimates under the GPPDI. The results of the EMDI review and outlier analysis produced a refined set of NPP estimates and model driver data (the EMDI database; Olson et al., 2001; 2013). Another ORNL DAAC data set (Zheng et al., 2013) contributed to the compilation of GPPDI. Revision Notes: This data set has been revised to correct previously reported ANPP, BNPP, and TNPP estimates for three OTTER Transect sites, USA, in the Class A NPP data file and BNPP, and TNPP estimates for Vindhyan, India, in the Class B NPP data file. Please see the Data Set Revisions section of this document for detailed information.

Question 2.1.1a: Does the government have an online data portal containing publicly available data on reserves, production and exports?, 2.1.1b: Does the online data portal contain the most recent publicly available data on reserves, production and exports?, 2.1.1c: Is the data contained in the online data portal machine-readable?

This blog post was posted by Damon Davis on October 23, 2013.

Abstract

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database.

The Open Data Initiative Resource Site of city of Portland, Oregon. All documents and data related to the ODI will be posted here.

ITS DataHub has partnered with the work zone data community, Federal Highway Administration's (FHWA) Work Zone Data Initiative (WZDI), and the broader Work Zone Data Working Group to create the following suite of proof-of-concept tools for work zone feeds compliant with the Work Zone Data Exchange (WZDx) specification. This data story describes those tools, focusing on the WZDx Feed Registry and the WZDx Data Archive.

The concept of Open Data is about making data held by public bodies available and easily accessible online for reuse and redistribution. Open Data gives everyone access to non-personal government data which can deliver enhanced economic, social, environmental and democratic benefits to all. The Open Data Initiative is designed to benefit society by increasing the amount of governmental data available to the public, promoting enhanced innovation and fair competition. Many of the apps we use on our phones on a daily basis rely on Open Data. Who leaves their house without checking the weather, the time of the next bus or goes to the beach without looking up the water quality, tidal times or parking facilities? Data.gov.ie is the central portal which provides access to all governmental open data. It provides easy access to datasets that are free to use, reuse, and redistribute. The portal is operated by the Government Reform Unit in the Department of Public Expenditure and Reform. Ireland’s Open Data Initiative began in 2014 when we joined the international Open Government Partnership. The Open Data Initiative has been very successful in Ireland and we are currently ranked 2nd in the EU Open Data Maturity assessment. The Open Data Governance Board was established in 2016 to work in the public interest. It leads the Open Data Initiative and oversees the implementation of the Government’s Open Data Strategy. The Board is made up of 10 to 12 representatives from academia, the public service, business, media and civil society. We would really like to hear how you are using Open Data and if you have 10 minutes please complete a short impact assessment survey for us. Share how you are using Open Data by submitting a Showcase which can be featured on the Portal. The Open Data listed in data.gov.ie is published by Government Departments and Public Bodies. Many datasets are individually published and updated by public organisations. Other datasets are harvested daily from existing, domain-specific data catalogues. If you would like to suggest a new dataset to publish, or if you have any comments about existing datasets, please visit the Suggest a Dataset page > If you have any questions or comments about data.gov.ie or Open Data, please contact the Department of Public Expenditure NDP Delivery and Reform at opendata@per.gov.ie > Data.gov.ie is built using CKAN and utilises elements of ckanext-dgu, available at github.com/datagovuk/ckanext-dgu

Open data is the first step to an informed, transparent, and engaged community. Explore our data and tools, provide feedback on what you would like to see next, and find out about opportunities to get involved.

Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale markets and 10 additional Balancing Areas. To encourage its broader use, Berkeley Lab has made this data file public here at OEDI. The public project-level dataset is updated annually with data from the previous calendar year. For more information about the research project, including a technical report, briefing material, visualizations, and additional data, please visit the project homepage linked in this submission.

A newer version of the data exists and can be found linked in the resources of this submission under "Solar-to-Grid Public Data File Updated 2021".

The Horizontal Initiative database provides planned and actual financial and non-financial information by horizontal initiatives. Details for each initiative include the lead departments, timing of the initiative, the total funding allocation, a description, the shared outcomes, governance structure, partners and a contact name. Plans, spending and results are also available for each identified reporting period. Datasets are available for the following fiscal years: 2011-12, 2012-13, 2013-14, 2014-15, 2015-16, 2016-17, 2017-18.

Sussex County, NJ Open Data InitiativeThe Sussex County, NJ Open Data Initiative provides open access to a wide variety of county level GIS resources. Users such as policy makers, researchers, community members, students, and more can use this data for informed decision making across a broad spectrum of projects.

Data, lately, has received a lot of attention from various circles such as government officials, the community, businesses, law enforcement, and also civil society. The reason is actually very simple, because credible data is the key to the quality of development and good governance. Public policy, public services, law enforcement, government performance monitoring, and business opportunities all require credible data. Unfortunately, in practice, data is still often not managed seriously. There are still many cases where there are data that not only have various versions, but often also contradict each other. The One Data Initiative, or commonly called One Data Indonesia, is one of the Indonesian government's initiatives that tries to fix problems in the implementation and management of government data. The development of this initiative is also overseen by the Open Government Indonesia Action Plan. Along with welcoming International Open Data Day which falls on March 4, 2017, As an initiative that is being promoted by the central government regarding data governance reform within the Indonesian government, One Data Indonesia is an initiative that is expected to help the integration of planning, implementation, monitoring, evaluation, and control of development between the central government and the regions, and at the next level is the disclosure of government data that can be used by the community. In addition, the implementation of One Data is also expected to accelerate the implementation of the Electronic-Based Government System (SPBE/E-government) which is being prepared, both in terms of regulations and operational stages, by a number of related agencies involving the Presidential Staff Office, the Ministry of National Development Planning/Bappenas, the Ministry of PAN & RB, the Ministry of Communication and Informatics, and the State Administration Institution. In principle, Satu Data Indonesia strives to encourage better government data governance. Good data governance is highly dependent on quality and consistency in data management. For this reason, Satu Data Indonesia defines good data governance into three main principles. The three main principles that will be encouraged through the One Data Indonesia policy are: (i) a single standard data standard, (ii) one standard metadata, and (iii) data interoperability. With the application of these principles, it is hoped that the One Data policy will be able to realize an accountable, accurate, integrated, up-to-date, and open data management system. These three principles will be implemented through the Presidential Regulation on One Data that we are currently compiling. Currently, the initiation of One Data has reached the finalization stage of the preparation of the Presidential Regulation on One Data Indonesia. If it has been passed, the Presidential Regulation on One Data Indonesia is expected to stimulate efforts to improve government data governance in Indonesia. This means that the use of data will be more structured and will improve the quality of policies and public services in Indonesia as well. In addition, to ensure the smooth implementation later, pilot activities are also being carried out in seven ministries, institutions and also seven local governments. At the central government level, the One Data Initiative is currently being pilotedn in several Ministries, including the Ministry of National Development Planning/Bappenas and the Ministry of Maritime Affairs and Fisheries. At the local government level, the implementation of One Data Indonesia has been piloted in several pilot areas, including DKI Jakarta Province, Demak Regency, Bojonegoro Regency, Semarang City, Banda Aceh City, Mojokerto City, and Pontianak City. There are actually several priorities that can be resolved in order to facilitate the implementation of One Data Indonesia. First, harmonization between the role of Presidential Regulations (Perpres) and Regional Regulations (Perda). Second, finding a clear business process for the implementation of One Data Indonesia both in the Ministries/Institutions of a region. Third, the integration of other Ministries/Institutions data portals in one portal, to facilitate access and use of data by the public. There are several things that are still challenges for the implementation of One Data in Indonesia. One of them is the process of ratifying the Presidential Regulation on One Data Indonesia which requires coordination with various stakeholders which takes a long time. In addition, there are several policies related to statistics, which need to be adjusted to the context of data governance reform within the current government. One of them is Law No. 16 of 1997 concerning Statistics which still defines data only in the form of numbers, so that other forms of data such as spatial data are not included in it. In addition, the reluctance of many parties to integrate cross-sectoral data management within the government is also an obstacle. Where there are various types of data in each sector, but without any integration with other sectors. Finally, one of the things that hinders the implementation of this initiative according to the One Data Indonesia team is the existence of non-tax state revenue (PNPB) collected from data requests. This severely limits access to open data that should be easily and free of charge accessible to the public.