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.

MuniciWebMex-2021 contains the URL (uniform resource locators), also known as Internet addresses, of websites of the municipal governments in Mexico as they were available in May, 2021. It contains 11 attributes. A series of these attributes are, for instance, municipality ID, ID of state where the municipality is located in, municipality name, state name, URL of the website, etc. The total number of municipalities in the dataset is 2,469, although not all municipal governments own a website at that time.

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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

This is a study to assess the application of process mining techniques on data from the Brazilian public services, made available on open data portals, aiming to identify bottlenecks and improvement opportunities in government processes. The datasets were obtained from the Brazilian Federal Government's Open Data Portal: dados.govCategorization:(1) event log(2) there is a complete date(3) list of data or information table(4) documents(5) no file founded(6) link to another portalLink of brasilian portal: https://dados.gov.br/homeList of content made available:open-data-sample.zip: all the files obtained from the representative sample of the studyopen-data-sample.xls: table categorizing the datasets obtained and classifying them as relevant for testing in the process mining toolsdataset137.csv: dataset with undergraduate degree records tested in the Disco, Celonis and ProM toolsdataset258.csv: dataset with software registration requests tested in the Disco, Celonis and ProM toolsdataset356.csv: dataset with public tender inspector registrations tested in the Disco, Celonis and ProM tools

Mining manufacturing industries producing 2021

The Data Mining Market is Segmented by Component (Tools [ETL and Data Preparation, Data-Mining Workbench, and More], Services [Professional Services, and More]), End-User Enterprise Size (Small and Medium Enterprises, Large Enterprises), Deployment (Cloud, On-Premise), End-User Industry (BFSI, IT and Telecom, Government and Defence, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Data Mining Tools market size is expected to reach $2.13 billion by 2029 at 12.9%, segmented as by tools, data mining software, data visualization tools, data preparation tools, predictive analytics tools, reporting tools

Extractive mining industries product 2021

DataSet for use in RapidMiner from the master's thesis. OPEN DATA MINING: AN ANALYSIS OF THE USE OF BOTS IN THEELECTRONIC TRADING FLOORSDissertation presented to the Graduate Program in Management in Learning Organizations in compliance with the requirements for completion of the Professional Master in Management in Learning Organizations-UFPB.Brazil's federal government has sought to match procurement procedures to trends in information and communication technologies. The electronic reverse auction was one of the products of these efforts, being characterized as a modality that presented structural solutions to improve the efficiency of purchases of common goods and services and that represents more than 94% of the bids that occurred in the country. Despite the benefits of electronic format, this environment brings challenges, such as dealing with the use of bots, which works by automatically bidding. While there is no law prohibiting its use, judgments of the Federal Court of Auditors state that its use provides a competitive advantage to suppliers holding this technology in question over other bidders, characterizing an affront to the principle of isonomy. Also in the sense of modernizing public procurement is increasing transparency through open data policies, as part of the context of Open Government and digital transformation. This study aims to analyze the situation of bot use in electronic reverse auctions through open data mining. Electronic reverse auctions held at the Ministry of Agriculture, Livestock and Supply in 2017 were analyzed. Data were obtained by request by the Electronic Information System for Citizen Information (e-SIC), having been adopted as methodology the knowledge discovery in databases. The results indicate that bot use in electronic reverse auctions in 2017 represented a more than 5% advantage in successful bid items observed for only 1.99% of the sample bidders, indicated as suspected use. The most relevant indicator for classifying bidders as suspects was the high number of bids issued in relation to the behavior observed in the sample. Results are expected to foster discussion of the effects of bot use on e-trading and to highlight the need for open data policy development for data mining to be an increasingly effective means to assess anomalies and increase the integrity of the bids made by the Federal Government Procurement Portal.DataSet para uso no RapidMiner provenientes da dissertação de mestrado. MINERAÇÃO DE DADOS ABERTOS: UMA ANÁLISE DO USO DE BOTS EMPREGÕES ELETRÔNICOSDissertação apresentada ao Programa de Pós-Graduação em Gestão nas Organizações Aprendentes em cumprimento às exigências para conclusão do Mestrado Profissional em Gestão nas Organizações Aprendentes-UFPB.https://sig-arq.ufpb.br/arquivos/2019071230f6981803056bc243c9a4b41/Dissertao_-_Hugo_Medeiros_Souto_-_Minerao_de_Dados_Abertos_2.pdf

Indonesia Government Revenue: Domestic: Non Tax: Natural Resources: Geothermal Mining data was reported at 2,280.577 IDR bn in 2018. This records an increase from the previous number of 932.981 IDR bn for 2017. Indonesia Government Revenue: Domestic: Non Tax: Natural Resources: Geothermal Mining data is updated yearly, averaging 866.552 IDR bn from Dec 2008 (Median) to 2018, with 11 observations. The data reached an all-time high of 2,280.577 IDR bn in 2018 and a record low of 343.800 IDR bn in 2010. Indonesia Government Revenue: Domestic: Non Tax: Natural Resources: Geothermal Mining data remains active status in CEIC and is reported by The Audit Board of The Republic of Indonesia. The data is categorized under Indonesia Premium Database’s Government and Public Finance – Table ID.FA003: Government Budget: Realization.

Facebook received ****** user data requests from federal agencies and courts in the United States during the second half of 2024. The social network produced some user data in ** percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

These criteria (file 1) were drawn up empirically, based on the practical challenges faced during the development of the thesis research, based on tests carried out with various datasets applied to process mining tools. These criteria were elaborated empirically, based on the practical challenges faced during the development of the thesis research, based on tests conducted with various datasets applied to process mining tools. These criteria were prepared with the aim of creating a ranking of the datasets selected and published (https://doi.org/10.6084/m9.figshare.25514884.v3), in order to classify them according to their score. The criteria are divided into informative (In), importance (I), difficulty (D) and ease (F) of handling (file 2). The datasets were selected (file 3) and, for ranking, calculations were made (file 5) to normalize the values for standardization (file 4). This data is part of a study on the application of process mining techniques to Brazilian public service data, available on the open data portal dados.gov.

Chile Government Revenue (GR): Mining data was reported at 57.685 USD bn in 2017. This records an increase from the previous number of 51.717 USD bn for 2016. Chile Government Revenue (GR): Mining data is updated yearly, averaging 40.639 USD bn from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 59.036 USD bn in 2012 and a record low of 14.167 USD bn in 2002. Chile Government Revenue (GR): Mining data remains active status in CEIC and is reported by Chilean Copper Commission. The data is categorized under Global Database’s Chile – Table CL.F011: Government Mining Revenue.

Lifesciences Data Mining and Visualization Market Outlook

The global market size for Lifesciences Data Mining and Visualization was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 4.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% during the forecast period. The growth of this market is driven by the increasing demand for sophisticated data analysis tools in the life sciences sector, advancements in analytical technologies, and the rising volume of complex biological data generated from research and clinical trials.

One of the primary growth factors for the Lifesciences Data Mining and Visualization market is the burgeoning amount of data generated from various life sciences applications, such as genomics, proteomics, and clinical trials. With the advent of high-throughput technologies, researchers and healthcare professionals are now capable of generating vast amounts of data, which necessitates the use of advanced data mining and visualization tools to derive actionable insights. These tools not only help in managing and interpreting large datasets but also in uncovering hidden patterns and relationships, thereby accelerating research and development processes.

Another significant driver is the increasing adoption of artificial intelligence (AI) and machine learning (ML) algorithms in the life sciences domain. These technologies have proven to be invaluable in enhancing data analysis capabilities, enabling more precise and predictive modeling of biological systems. By integrating AI and ML with data mining and visualization platforms, researchers can achieve higher accuracy in identifying potential drug targets, understanding disease mechanisms, and personalizing treatment plans. This trend is expected to continue, further propelling the market's growth.

Moreover, the rising emphasis on personalized medicine and the need for precision in healthcare is fueling the demand for data mining and visualization tools. Personalized medicine relies heavily on the analysis of individual genetic, proteomic, and metabolomic profiles to tailor treatments specifically to patients' unique characteristics. The ability to visualize these complex datasets in an understandable and actionable manner is critical for the successful implementation of personalized medicine strategies, thereby boosting the demand for advanced data analysis tools.

From a regional perspective, North America is anticipated to dominate the Lifesciences Data Mining and Visualization market, owing to the presence of a robust healthcare infrastructure, significant investments in research and development, and a high adoption rate of advanced technologies. The European market is also expected to witness substantial growth, driven by increasing government initiatives to support life sciences research and the presence of leading biopharmaceutical companies. The Asia Pacific region is projected to experience the fastest growth, attributed to the expanding healthcare sector, rising investments in biotechnology research, and the increasing adoption of data analytics solutions.

Component Analysis

The Lifesciences Data Mining and Visualization market is segmented by component into software and services. The software segment is expected to hold a significant share of the market, driven by the continuous advancements in data mining algorithms and visualization techniques. Software solutions are critical in processing large volumes of complex biological data, facilitating real-time analysis, and providing intuitive visual representations that aid in decision-making. The increasing integration of AI and ML into these software solutions is further enhancing their capabilities, making them indispensable tools in life sciences research.

The services segment, on the other hand, is projected to grow at a considerable rate, as organizations seek specialized expertise to manage and interpret their data. Services include consulting, implementation, and maintenance, as well as training and support. The demand for these services is driven by the need to ensure optimal utilization of data mining software and to keep up with the rapid pace of technological advancements. Moreover, many life sciences organizations lack the in-house expertise required to handle large-scale data analytics projects, thereby turning to external service providers for assistance.

Within the software segment, there is a growing trend towards the development of integrated platforms that combine multiple functionalities, such as data collection, pre

This dataset provides the public with information on the reporting hotline for illegal excavation of earth and stone in each county. If there is any suspicious or unapproved excavation of earth and stone, you can immediately report to the local competent authorities for investigation and crackdown to prevent illegal excavation and maintain the integrity of the territory.

Jordan General Government Revenue: Others: ow Mining data was reported at 36.900 JOD mn in 2017. This records a decrease from the previous number of 54.300 JOD mn for 2016. Jordan General Government Revenue: Others: ow Mining data is updated yearly, averaging 25.100 JOD mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 114.600 JOD mn in 2012 and a record low of 8.700 JOD mn in 2000. Jordan General Government Revenue: Others: ow Mining data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Jordan – Table JO.F001: General Government Revenue and Expenditure.

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Mining: Total Cash, U.S. Government and Other Securities (QFRTCASH2MINUSNO) from Q4 2000 to Q1 2025 about cash, finance, mining, securities, corporate, government, industry, and USA.

According to the relevant provisions of the mine safety regulations, personnel are sent to various types of mines regularly to conduct supervision and inspection of mine safety facilities and provide guidance to ensure the safe operation of the mine.

Bolivia General Government: Revenue: Current: Tax: Mining Royalties data was reported at 1,670.392 BOB mn in 2023. This records a decrease from the previous number of 1,764.420 BOB mn for 2022. Bolivia General Government: Revenue: Current: Tax: Mining Royalties data is updated yearly, averaging 474.844 BOB mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1,764.420 BOB mn in 2022 and a record low of 0.000 BOB mn in 1994. Bolivia General Government: Revenue: Current: Tax: Mining Royalties data remains active status in CEIC and is reported by Ministry of Economics and Public Finance. The data is categorized under Global Database’s Bolivia – Table BO.F001: General Government Revenue and Expenditure.

Global Predictive Analytics Market size worth at USD 16.19 Billion in 2023 and projected to USD 113.8 Billion by 2032, with a CAGR of around 24.19% between 2024-2032.