The Build Smart NY Program aims to increase energy efficiency of New York State government buildings. Build Smart NY was established by Executive Order 88 and mandates a reduction in energy consumption by 20% in government owned and operated buildings by 2020. Site utility data has been collected for all government buildings larger than 20,000 square feet and this has been converted to Source Energy Use Intensity (EUI) which is a ratio of Source Energy Use to gross square footage. The Source EUI will be used as a performance metric to achieve the 20% reduction targets. The dataset represents a baseline of Source EUI for New York State government buildings at the baseline year of SFI 2010/2011; subsequent reports will demonstrate a progression to achieving a 20% energy reduction target.

Per the Federal Digital Government Strategy, the Department of Homeland Security Metrics Plan, and the Open FEMA Initiative, FEMA is providing the following web performance metrics with regards to FEMA.gov.rnrnInformation in this dataset includes total visits, avg visit duration, pageviews, unique visitors, avg pages/visit, avg time/page, bounce ratevisits by source, visits by Social Media Platform, and metrics on new vs returning visitors.rnrnExternal Affairs strives to make all communications accessible. If you have any challenges accessing this information, please contact FEMAWebTeam@fema.dhs.gov.

Analysis of ‘Performance Metrics - Streets & Sanitation - Rodent Baiting’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/36a53f7b-ae42-47c3-b175-17e85792870f on 26 January 2022.

--- Dataset description provided by original source is as follows ---

In addition to performing regular scheduled preventative rodent control, the Department of Streets & Sanitation (DSS) responds to site-specific customer rat complaints logged through 311’s Customer Service Requests (CSR) system. This metric tracks the average number of days the DSS takes to complete rodent baiting requests per week. Median days to complete requests as well as total number of requests fulfilled per week are available by mousing over columns. The target response time for rodent baiting requests is within 7 days. For more information on open rat complaints, see https://data.cityofchicago.org/Government/311-Service-Requests-Rodent-Baiting-2011-/97t6-zrhs

--- Original source retains full ownership of the source dataset ---

This page provides data for the Internal Audit Plan performance measure.Descriptions and status for audit plan projects. The performance measure dashboard is available at 5.14 Audit Completion Rate. Additional Information Source: Department Data https://www.tempe.gov/government/internal-auditContact: Keith SmithContact E-Mail: keith_smith@tempe.govData Source Type: ExcelPreparation Method: ManualPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

Snapshot img

Government Open Data Management Platform Market Size 2025-2029

The government open data management platform market size is forecast to increase by USD 189.4 million at a CAGR of 12.5% between 2024 and 2029.

The market is witnessing significant growth, driven by the increasing demand for digitalization in government operations. This trend is leading to an increased adoption of advanced technologies, such as artificial intelligence (AI) and machine learning, in open data management platforms. These technologies enable more efficient data processing, analysis, and dissemination, making it easier for governments to provide accessible and actionable data to the public. However, the market faces challenges related to data privacy concerns.
Additionally, there is a need for clear guidelines and regulations regarding the collection, storage, and sharing of open data to maintain transparency and trust with the public. Companies operating in this market can capitalize on the growing demand for digitalization and advanced technologies while addressing data privacy concerns to gain a competitive edge. With the growing availability of open data, ensuring the security and confidentiality of sensitive information is a major concern. Governments must implement robust security measures to protect data from unauthorized access, misuse, or theft. Computer vision and image recognition are transforming industries like healthcare and education.

What will be the Size of the Government Open Data Management Platform Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market for government open data management platforms continues to evolve, driven by the increasing importance of public data infrastructure and the need for effective data governance policies. Data privacy regulations are shaping the landscape, with a growing emphasis on data reuse promotion and performance benchmarking. Data aggregation methods and data usage patterns are under constant review, as transparency and system scalability become essential. Data storytelling techniques and data usability assessments are gaining traction, while data platform architecture and data integration tools are being refined. A recent study revealed a 25% increase in data accessibility features adoption among government agencies.

Industry growth is expected to reach 15% annually, as open data licensing, role-based access control, and data modeling techniques become standard. Data quality monitoring, data consistency, and data reliability remain key concerns, with data audit procedures and data integrity measures being implemented to address these challenges. Data contextualization and data visualization dashboards are essential for making sense of the vast amounts of data being generated, while open government initiatives continue to drive innovation and collaboration. Data security remains a priority, with privacy concerns driving the need for data mining and edge computing.

How is this Government Open Data Management Platform Industry segmented?

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 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Large enterprises
  SMEs


Deployment

  On-premises
  Cloud-based


Component

  Solutions
  Services


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    Australia
    China
    India


  Rest of World (ROW)

By End-user Insights

The Large enterprises segment is estimated to witness significant growth during the forecast period. In today's data-driven business landscape, large enterprises are increasingly turning to government open data management platforms to unlock valuable insights and fuel innovation. These platforms enable organizations to access, manage, and analyze vast amounts of data published by government agencies. By integrating government open data with their internal data, businesses can gain a deeper understanding of market trends, consumer behavior, and emerging opportunities. Data interoperability and version control ensure seamless integration of diverse data sources, while data migration strategies facilitate the transfer of data between systems. Data lineage tracking and metadata management provide transparency into the origin and evolution of data, enabling data provenance management and data discovery. Advanced process control and time series forecasting are integral to this evolution, with machine learning algorithms and deep learning frameworks powering predictive analytics tools.

Structured data management, data clea

DTF performance measures cover areas related to funding for a range of services delivered by the department including providing the Government with economic, financial and resource management policy advice to assist the Government in delivering its policy outcomes.

Content

This dataset provides applicant and project information for grants given by the NYS Department of State's Division of Local Government Services. The Division is responsible for assisting local officials in understanding and improving the local government financial health and promoting local government management based upon long-term planning and performance measurement. The program provides incentive funding directly to local governments to help reduce the cost of local services and increase service efficiencies.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated annually.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Blake Wisz on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

The Place Survey collects the views of people on a range of issues concerning the place they live. Its results are used to measure progress on National Indicators in the Local Performance Framework. Source agency: Communities and Local Government Designation: Official Statistics not designated as National Statistics Language: English

This Survey is now cancelled

Data contained in this table documents Austin-Travis County EMS (ATCEMS) Communications Center workload and performance. Data contained in this table comes from several sources: • 911 Call Count and Grade of Service are obtained from the ECaTS reporting system provided by the Capital Area Council of Governments (CAPCOG). • Call Processing Interval is calculated using data from the department Computer-Aided Dispatch (CAD) data warehouse. • MPDS Compliance is calculated by the Advanced Quality Assurance (AQUA) system used by Communications Center personnel to assess center performance. • Performance targets are determined by ATCEMS management.

Global Performance Assessments (GPAs), which rank countries on a range of policy areas, can stimulate domestic demands for policy reform. Yet can they also affect at what level of government---local or national---citizens want reform to take place? We theorize that, by emphasizing how countries fare relative to others, GPAs prompt citizens to view domestic policy underperformance as a national problem requiring national solutions.'' This increases calls for vesting policymaking authority in the hands of central governments. We argue that this effect should be most salient when underperformance is presented as a threat to a country's security because it induces citizens torally `round the flag.'' To test our theory, we field an original survey experiment in the United States using fictitious news articles manipulating both the source of performance monitoring information and how it is presented. In line with our prediction, respondents are most likely to demand policy centralization when underperformance is framed using GPAs and citizens are primed to think of low scores as a threat to their country's security. These results indicate that GPAs could eventually increase calls for expanding the purview of national-level politicians over policymaking.

This is the annual reporting of the City of Tempe's award received for distinguished budget from the Government Finance Officers Assocation (GFOA).This page provides data for the Budget Presentation Award performance measure.The performance measure dashboard is available at 2.10 Budget Presentation Award.Additional Information Source: Contact: Benicia BensonContact E-Mail: Benicia_Benson@tempe.govData Source Type: ExcelPreparation Method: Manually listedPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

Analysis of ‘Local Government Efficiency Program Grants: Beginning 2005’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/43c92f24-17ac-4553-9f21-78f7b60da582 on 30 September 2021.

--- Dataset description provided by original source is as follows ---

This dataset provides applicant and project information for grants given by the NYS Department of State's Division of Local Government Services. The Division is responsible for assisting local officials in understanding and improving the local government financial health and promoting local government management based upon long-term planning and performance measurement. The program provides incentive funding directly to local governments to help reduce the cost of local services and increase service efficiencies.

--- Original source retains full ownership of the source dataset ---

This page provides data for the Internal Audit Plan performance measure.Descriptions and status for audit plan projects. The performance measure dashboard is available at 5.14 Audit Completion Rate. Additional Information Source: Department Data https://www.tempe.gov/government/internal-auditContact: Keith SmithContact E-Mail: keith_smith@tempe.govData Source Type: ExcelPreparation Method: ManualPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

This measure accounts for annual contributions to the overall percentage of the US Waters that have been mapped to a depth greater than 200 meters. It is based upon the data holdings of the National Centers for Environmental Information (NCEI) and reflects reporting from all data sources.

These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. This dataset has two layers and includes both the weighted data and unweighted data. Weighting data is a statistical method in which datasets are adjusted through calculations in order to more accurately represent the population being studied. The weighted data are used in the final published PDF report.These data help determine priorities for the community as part of the City's on-going strategic planning process. Averaged Community Survey results are used as indicators for several city performance measures. The summary data for each performance measure is provided as an open dataset for that measure (separate from this dataset). The performance measures with indicators from the survey include the following (as of 2023):1. Safe and Secure Communities1.04 Fire Services Satisfaction1.06 Crime Reporting1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.02 Customer Service Satisfaction2.04 City Website Satisfaction2.05 Online Services Satisfaction Rate2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services4. Sustainable Growth & DevelopmentNo Performance Measures in this category presently relate directly to the Community Survey5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community SurveyMethods:The survey is mailed to a random sample of households in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used. To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city. Additionally, demographic data were used to monitor the distribution of responses to ensure the responding population of each survey is representative of city population. Processing and Limitations:The _location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the _location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city. The weighted data are used by the ETC Institute, in the final published PDF report.The 2023 Annual Community Survey report is available on data.tempe.gov or by visiting https://www.tempe.gov/government/strategic-management-and-innovation/signature-surveys-research-and-dataThe individual survey questions as well as the definition of the response scale (for example, 1 means “very dissatisfied” and 5 means “very satisfied”) are provided in the data dictionary.Additional InformationSource: Community Attitude SurveyContact (author): Adam SamuelsContact E-Mail (author): Adam_Samuels@tempe.govContact (maintainer): Contact E-Mail (maintainer): Data Source Type: Excel tablePreparation Method: Data received from vendor after report is completedPublish Frequency: AnnualPublish Method: ManualData Dictionary