The Integrated Postsecondary Education Data System, 2010-11 (IPEDS 2010-11), was a study that was part of the Integrated Postsecondary Education Data System (IPEDS) program; program data is available since 1980 at . IPEDS 2010-11 (https://nces.ed.gov/ipeds/) was a cross-sectional survey designed to collect basic data from all postsecondary institutions in the United States and the other jurisdictions. Key statistics produced from IPEDS 2010-11 allowed the National Center for Education Statistics (NCES) to describe the size of one of the nation's largest enterprises--postsecondary education-- in terms of students enrolled, degrees and other awards earned, dollars expended, and staff employed. All Title IV institutions were required to respond to IPEDS (see Section 490 of the Higher Education Amendments of 1992 [P.L. 102-325; 20 U.S.C. 1070 et seq.]). IPEDS allowed other, non-Title IV institutions to participate on a voluntary basis, but only about 200 elected to respond.

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Data Integration Market Size 2024-2028

The data integration market size is forecast to increase by USD 10.94 billion at a CAGR of 12.88% between 2023 and 2028.

The market is experiencing significant growth due to the increasing importance of managing and leveraging diverse data assets for business intelligence and analytics solutions. Data integration involves the transformation, mapping, and loading of data from various sources into a data warehouse or data lake for analysis. This process is crucial for corporations to gain insights from their data and make informed decisions. 
Automation of data integration through cloud-based software is a major trend, enabling real-time data processing and integration. Data enrichment, fraud detection and prevention, and data science applications are driving the demand for advanced data integration platforms.

What will be the Size of the Data Integration Market During the Forecast Period?

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The market also offers consulting, training, and technical support services to help businesses optimize their data integration solutions.
Business automation and enterprise analytics are key applications of data integration, with corporate reporting and hybrid data integration gaining traction. Data integration solutions enable seamless data flow between on-premises and cloud-based data warehouses, ensuring accurate and timely data for business users. The market is expected to continue growing as businesses increasingly rely on data-driven insights for competitive advantage.

How is this Data Integration Industry segmented and which is the largest segment?

The data integration industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2017-2022 for the following segments.

End-user

  IT and telecom
  Healthcare
  BFSI
  Government and defense
  Others


Component

  Tools
  Services


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Middle East and Africa



  South America

By End-user Insights

The it and telecom segment is estimated to witness significant growth during the forecast period.

In today's interconnected world, the telecom sector relies on operational support systems (OSS) and business support systems (BSS) to manage communication networks and customer management activities, respectively. With the proliferation of Internet of Things (IoT) and smart devices, seamless integration of multiple systems has become essential. The competitive telecom industry, driven by advanced communication technologies like 4G long-term evolution (LTE) and worldwide interoperability for microwave access (WiMax), demands efficient data integration. Cloud-based automation software plays a crucial role in this process, enabling data enrichment, enterprise connectivity, and fraud detection. Data science applications further enhance the value of integrated data, providing actionable insights for business growth. The integration of OSS and BSS software ensures effective communication and customer management in the telecom sector.

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The IT and telecom segment was valued at USD 2.57 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 33% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in North America is experiencing significant growth due to enterprises upgrading their IT infrastructure for improved operational efficiency in the competitive business landscape. The increasing adoption of cloud computing is a key driver, enabling seamless integration of various IT infrastructures and service platforms such as HP Enterprise and OneNeck IT Solutions. Additionally, the widespread use of cloud-based CRM systems among North American organizations has led to the popularity of the hybrid model, which combines on-premises and cloud solutions, to meet diverse business requirements. Business automation, data warehouses, corporate reporting, and enterprise analytics are primary applications fueling the demand for data integration solutions in this region.

Market Dynamics

Our data integration market researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the ri

The New York State Energy Research and Development Authority (NYSERDA) hosts a web-based Distributed Energy Resources (DER) integrated data system at https://der.nyserda.ny.gov/. This site provides information on DERs that are funded by and report performance data to NYSERDA. Information is incorporated on more diverse DER technology as it becomes available. Distributed energy resources (DER) are technologies that generate or manage the demand of electricity at different points of the grid, such as at homes and businesses, instead of exclusively at power plants, and includes Combined Heat and Power (CHP) Systems, Anaerobic Digester Gas (ADG)-to-Electricity Systems, Fuel Cell Systems, Energy Storage Systems, and Large Photovoltaic (PV) Solar Electric Systems (larger than 50 kW). Historical databases with hourly readings for each system are updated each night to include data from the previous day. The web interface allows users to view, plot, analyze, and download performance data from one or several different DER sites. Energy storage systems include all operational systems in New York including projects not funded by NYSERDA. Only NYSERDA-funded energy storage systems will have performance data available. The database is intended to provide detailed, accurate performance data that can be used by potential users, developers, and other stakeholders to understand the real-world performance of these technologies. For NYSERDA’s performance-based programs, these data provide the basis for incentive payments to these sites.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

description: The Integrated Postsecondary Education Data System, 2008-09 (IPEDS 2008-09), was a study that was part of the Integrated Postsecondary Education Data System (IPEDS) program; program data is available since 1980 at https://nces.ed.gov/ipeds/. IPEDS 2008-09 (https://nces.ed.gov/ipeds/) was a cross-sectional survey designed to collect basic data from all postsecondary institutions in the United States and the other jurisdictions. Key statistics produced from IPEDS 2008-09 allowed the National Center for Education Statistics (NCES) to describe the size of one of the nation's largest enterprises--postsecondary education-- in terms of students enrolled, degrees and other awards earned, dollars expended, and staff employed. All Title IV institutions were required to respond to IPEDS (see Section 490 of the Higher Education Amendments of 1992 [P.L. 102-325; 20 U.S.C. 1070 et seq.]). IPEDS allowed other, non-Title IV institutions to participate on a voluntary basis, but only about 200 elected to respond.; abstract: The Integrated Postsecondary Education Data System, 2008-09 (IPEDS 2008-09), was a study that was part of the Integrated Postsecondary Education Data System (IPEDS) program; program data is available since 1980 at https://nces.ed.gov/ipeds/. IPEDS 2008-09 (https://nces.ed.gov/ipeds/) was a cross-sectional survey designed to collect basic data from all postsecondary institutions in the United States and the other jurisdictions. Key statistics produced from IPEDS 2008-09 allowed the National Center for Education Statistics (NCES) to describe the size of one of the nation's largest enterprises--postsecondary education-- in terms of students enrolled, degrees and other awards earned, dollars expended, and staff employed. All Title IV institutions were required to respond to IPEDS (see Section 490 of the Higher Education Amendments of 1992 [P.L. 102-325; 20 U.S.C. 1070 et seq.]). IPEDS allowed other, non-Title IV institutions to participate on a voluntary basis, but only about 200 elected to respond.

Data Integration Market is Segmented by Component (tools and Services), Deployment (cloud and On-Premise), Enterprise Size (small, Medium, and Large Enterprises), Application (sales, Operations and Supply Chain, Marketing, HR, and Other Applications), and by End-User Vertical (IT and Telecom, BFSI, Healthcare, Manufacturing, Retail and E-Commerce, Government and Defense, and Other End-User Verticals) and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East & Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD for all the Above Segments.

Global Data Lakes Market size valued at US$ 18.73 Billion in 2023, set to reach US$ 130.54 Billion by 2032 at a CAGR of about 24.08% from 2024 to 2032.

The Integrated Postsecondary Education Data System, 2003-04 (IPEDS 2003-04), was a study that was part of the Integrated Postsecondary Education Data System (IPEDS) program; program data is available since 1980 at . IPEDS 2003-04 (https://nces.ed.gov/ipeds/) was a cross-sectional survey designed to collect basic data from all postsecondary institutions in the United States and the other jurisdictions. Key statistics produced from IPEDS 2003-04 allowed the National Center for Education Statistics (NCES) to describe the size of one of the nation's largest enterprises--postsecondary education-- in terms of students enrolled, degrees and other awards earned, dollars expended, and staff employed. All Title IV institutions were required to respond to IPEDS (see Section 490 of the Higher Education Amendments of 1992 [P.L. 102-325; 20 U.S.C. 1070 et seq.]). IPEDS allowed other, non-Title IV institutions to participate on a voluntary basis, but only about 200 elected to respond.

The report contains thirteen (13) performance metrics for City's workforce development programs. Each metric can be breakdown by three demographic types (gender, race/ethnicity, and age group) and the program target population (e.g., youth and young adults, NYCHA communities) as well. This report is a key output of an integrated data system that collects, integrates, and generates disaggregated data by Mayor's Office for Economic Opportunity (NYC Opportunity). Currently, the report is generated by the integrated database incorporating data from 18 workforce development programs managed by 5 City agencies. There has been no single "workforce development system" in the City of New York. Instead, many discrete public agencies directly manage or fund local partners to deliver a range of different services, sometimes tailored to specific populations. As a result, program data have historically been fragmented as well, making it challenging to develop insights based on a comprehensive picture. To overcome it, NYC Opportunity collects data from 5 City agencies and builds the integrated database, and it begins to build a complete picture of how participants move through the system onto a career pathway. Each row represents a count of unique individuals for a specific performance metric, program target population, a specific demographic group, and a specific period. For example, if the Metric Value is 2000 with Clients Served (Metric Name), NYCHA Communities (Program Target Population), Asian (Subgroup), and 2019 (Period), you can say that "In 2019, 2,000 Asian individuals participated programs targeting NYCHA communities. Please refer to the Workforce Data Portal for further data guidance (https://workforcedata.nyc.gov/en/data-guidance), and interactive visualizations for this report (https://workforcedata.nyc.gov/en/common-metrics).

This downloadable data package consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; ICIS-AIR (AIR) : stationary sources of air pollution; Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) : market-based air pollution control programs; Comprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA); National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions and; Generation Resource Integrated Database (EGRID) : power plants. The Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.

Integration Software Market size was valued at USD 301.04 Billion in 2024 and is projected to reach USD 735.85 Billion by 2031, growing at a CAGR of 11.84% during the forecast period 2024-2031.

Integration Software Market Drivers

Integration software is the process in which heterogeneous data is combined or retrieved from different sources to form meaningful or valuable information. Integration software primarily supports the analytical processing of large data sets by combining, aligning, and merging each data set from different sources or organizational departments. Integration software is extremely useful in the case of merging systems of two different companies to provide a unified view of the company’s data assets.

It primarily supports the analytical processing of large data sets by combining, aligning, and merging each data set from different sources or organizational departments. It is extremely useful in the case of merging systems of two different companies to provide a unified view of the company’s data assets. In each business enterprise, there is a constant requirement for data storage and processing, fueled by the continuous increase in the use of computers and smartphones. This data can increase from an enterprise’s operations, people, technology, and procedures.

Data relating to the publication. Sharing research data and scholarship is of national importance because of the increased focus on maximizing return on the U.S. government's investment in research programs. Recent government policy changes have directly affected the management and accessibility of publically funded research. On January 18, 2011, the National Science Foundation, a U.S. agency that supports research and education in nonmedical fields, required that data management plans be submitted with all grant proposals. On February 22, 2013, the U.S. President's Office of Science and Technology Policy extended a similar requirement for all federal agencies with research and development budgets of more than $100 million. These requirements illustrate the need for further coordination and management of data as scholarship with traditional publications. Purdue University Libraries and its Joint Transportation Research Program (JTRP) collaborated to develop a comprehensive work flow that links technical report production with the management and publication of associated data. This paper illustrates early initiatives to integrate discrete data publications with traditional scholarly publications by leveraging new and existing repository platforms and services. The authors review government policies, past data-sharing practices, early pilot initiatives, and work flow integration between Purdue's data repository, the traditional press, and institutional repository. Through the adoption of these work flows, the authors propose best practices for integrating data publishing and dissemination into the research process. The implementation of this model has the potential to assist researchers in meeting the requirements of federal funding agencies, while reducing redundancy, ensuring integrity, expanding accessibility, and increasing the return on research investment.

A virtual database currently indexing software and tools from the SciCrunch Registry, Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC), Visiome Platform, Cerebellar Platform, Brain Machine Interface Platform, and Genetic Analysis Software (GAS).

These data support the journal article : An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions (Journal of Advances in Modeling Earth Systems).

The files provided are as follows:

SITE_RMSE* - These files provided the computed RMSE values for SYNOP site evaluation using the control IFS and the urban IFS. Results are given for different forecast lead times, different seasons and for both 2 m and 10 m wind speed.

DIURNAL* - These files provide the diurnal 2 m temperature output from the model and the comparison of those with observations.

For more information please contact or access to alternative data related to the publication please contact: joe.mcnorton@ecmwf.int

"Integrated Research Program for Advancing Climate Models" ("TOUGOU Program") is a five-year project being implemented by the Ministry of Education, Culture, Sports, Science and Technology ("MEXT") from FY2017 to FY2021 with the primary objective of elucidating the mechanisms of climate change and generating information on climate change projections through the development of climate models that will form the basis for all climate change countermeasures. The TOUGOU Program consists of four research themes. The objectives of the theme A is to actively participate in the coupled model intercomparison project phase 6 (CMIP6) by using the global climate models developed in the previous programs, and to carry out many original climate model simulations to generate the forecast information necessary for the formulation of near-future adaptation and mitigation measures. Theme B aims to, such as, more precisely estimate CO2 emissions by using the Earth System Model (ESM), a climate model that incorporates biological and chemical processes into the global climate model. This dataset contains the results of the VolMIP by MIROC-ES2L, among the various simulations for CMIP6 that have been carried out in this TOUGOU Program using the global climate models and the Earth system models developed in Japan.

This work was supported by the Integrated Research Program for Advancing Climate Models (TOUGOU) Grant Number JPMXD0717935715 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.

All CMIP6 data are collected, managed and published by the Earth System Grid Federation (ESGF), and DIAS serves as one node of the ESGF. All public datasets, including this dataset, are available from ESGF. Please refer to the CMIP6 Guidance for Data Users (link below) for information on the use of these datasets, including this dataset.

IPEDS collects data on postsecondary education in the United States in seven areas: institutional characteristics, institutional prices, enrollment, student financial aid, degrees and certificates conferred, student persistence and success, and institutional human and fiscal resources. IPEDS collects data on the number of students who complete a postsecondary education program by type of program and level of award (certificate or degree). Type of program is categorized according to the Classification of Instructional Programs (CIP), a detailed coding system for postsecondary instructional programs. These data provide information on the number and location of completers by field. Business and industry, the military, and other groups that need to recruit individuals with particular skills use these data extensively. The data also help satisfy the mandate in the Carl D. Perkins Vocational Education Act for information on completions in postsecondary career and technical education programs

The Point-of-Care (POC) Data Management Software market is experiencing robust growth, projected to reach a market size of $825.41 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 12.11%. This expansion is driven by several key factors. The increasing adoption of electronic health records (EHRs) and the growing demand for improved patient care and operational efficiency in healthcare settings are significant contributors. Furthermore, the rising prevalence of chronic diseases necessitates efficient data management for better patient outcomes, fueling the market's growth. The shift towards cloud-based solutions offers scalability, accessibility, and reduced infrastructure costs, further attracting healthcare providers. Technological advancements, such as the integration of artificial intelligence (AI) and machine learning (ML) for data analysis and predictive modeling, are enhancing the capabilities of POC data management software, thereby increasing its value proposition. Regulatory mandates promoting interoperability and data security are also pushing adoption. Competition is intense, with established players like Abbott Laboratories and Siemens Healthineers alongside specialized software providers vying for market share. The market is segmented by deployment (on-premises and cloud), with the cloud segment expected to witness faster growth due to its inherent advantages. Geographic analysis reveals North America and Europe as currently dominant regions, but emerging markets in Asia-Pacific are poised for significant expansion driven by increasing healthcare investments and technological adoption. The market's future trajectory will be shaped by several factors. The continued integration of POC data management software with other healthcare IT systems, like laboratory information systems (LIS) and hospital information systems (HIS), will be crucial for comprehensive data management and analysis. The focus on data security and privacy, particularly in the wake of evolving regulations like HIPAA and GDPR, will continue to drive investments in robust security features. The emergence of new technologies, such as blockchain for enhanced data integrity and remote patient monitoring solutions, will further influence the market landscape. The expansion into underserved regions, particularly in developing countries, presents significant opportunities for growth. However, challenges such as high initial investment costs, the need for skilled IT personnel, and the complexities of integrating disparate systems could hinder market penetration in some sectors. Nevertheless, the long-term outlook for the POC Data Management Software market remains positive, driven by the persistent need for improved healthcare delivery and efficient data utilization.

Healthcare Integration Engines Software Market size was valued at USD 3.4 Billion in 2023 and is projected to reach USD 6.8 Billion by 2031, growing at a CAGR of 9.8% during the forecast period 2024-2031.

Global Healthcare Integration Engines Software Market Drivers

The market drivers for the Healthcare Integration Engines Software Market can be influenced by various factors. These may include:

Growing Demand for Interoperability: The need for seamless data sharing among various healthcare systems drives the demand for Healthcare Integration Engines (HIEs). Hospitals and healthcare providers are increasingly recognizing that interoperability enhances patient care, enabling timely access to records. This demand is propelled by regulatory requirements, such as the 21st Century Cures Act, encouraging the availability of electronic health information. In addition, the shift towards value-based care models necessitates comprehensive patient data for better outcomes. The integration engines enable disparate systems to communicate effectively, streamlining workflows and improving care coordination, thus supporting the growing emphasis on patient-centered care.
Advancements in Technology: Rapid advancements in technology are significantly influencing the Healthcare Integration Engines market. The integration of artificial intelligence, machine learning, and cloud computing solutions is enhancing the capabilities of integration engines, allowing for greater processing power and efficiency. These technologies facilitate real-time data analytics and improve the speed of information exchange between healthcare systems. Furthermore, the adoption of APIs (Application Programming Interfaces) is enabling developers to create more flexible and scalable integration solutions. This technological evolution is crucial for healthcare facilities aiming to modernize their IT infrastructure and ensure robust, secure, and efficient data integration processes.

Global Healthcare Integration Engines Software Market Restraints

Several factors can act as restraints or challenges for the Healthcare Integration Engines Software Market. These may include:

High Implementation Costs: The initial costs of implementing healthcare integration engines software can significantly deter healthcare organizations, especially smaller facilities. The expenses stem from licensing fees, required hardware, and additional resources for integration. Beyond the upfront costs, the ongoing maintenance and support fees can strain budgets. Many organizations may struggle to justify these expenditures against potential ROI, leading to hesitancy in adopting such systems. Additionally, the complexity of integrating these solutions with existing systems can result in unforeseen costs and disruptions, making it challenging for healthcare providers to commit to integration investments.

Data Privacy and Security Concerns: As healthcare integration engines handle sensitive patient information, concerns regarding data privacy and security are paramount. Organizations must comply with regulations such as HIPAA, necessitating robust security measures that can complicate software deployment. The fear of data breaches can lead to apprehension in adopting integration solutions, as any compromise could result in severe legal penalties and damage to reputation. Furthermore, organizations may face challenges in securing adequate safeguards, as cyber threats evolve continuously. This potential for data exposure can create friction in the integration process, hindering technological advancements in the healthcare sector.

The National Air Pollution Surveillance (NAPS) program is the main source of ambient air quality data in Canada. The NAPS program, which began in 1969, is now comprised of nearly 260 stations in 150 rural and urban communities reporting to the Canada-Wide Air Quality Database (CWAQD). Managed by Environment and Climate Change Canada (ECCC) in collaboration with provincial, territorial, and regional government networks, the NAPS program forms an integral component of various diverse initiatives; including the Air Quality Health Index (AQHI), Canadian Environmental Sustainability Indicators (CESI), and the US-Canada Air Quality Agreement. Once per year, typically autumn, the Continuous data set for the previous year is reported on ECCC Data Mart. Beginning in March of 2020 the impact of the COVID-19 pandemic on NAPS Operations has resulted in reduced data availability for some sites and parameters. For additional information on NAPS data products contact the NAPS inquiry centre at RNSPA-NAPSINFO@ec.gc.ca Last updated March 2023. Supplemental Information Monitoring Program Overview The NAPS program is comprised of both continuous and (time-) integrated measurements of key air pollutants. Continuous data are collected using gas and particulate monitors, with data reported every hour of the year, and are available as hourly concentrations or annual averages. Integrated samples, collected at select sites, are analyzed at the NAPS laboratory in Ottawa for additional pollutants, and are typically collected for a 24 hour period once every six days, on various sampling media such as filters, canisters, and cartridges. Continuous Monitoring Air pollutants monitored continuously include the following chemical species: • carbon monoxide (CO) • nitrogen dioxide (NO2) • nitric oxide (NO) • nitrogen oxides (NOX) • ozone (O3) • sulphur dioxide (SO2) • particulate matter less than or equal to 2.5 (PM2.5) and 10 micrometres (PM10) Each provincial, territorial, and regional government monitoring network is responsible for collecting continuous data within their jurisdiction and ensuring that the data are quality-assured as specified in the Ambient Air Monitoring and Quality Assurance/Quality Control Guidelines. The hourly air pollutant concentrations are reported as hour-ending averages in local standard time with no adjustment for daylight savings time. These datasets are posted on an annual basis. Integrated Monitoring Categories of chemical species sampled on a time-integrated basis include: • fine (PM2.5) and coarse (PM10-2.5) particulate composition (e.g., metals, ions), and additional detailed chemistry provided through a subset of sites by the NAPS PM2.5 speciation program; • semi-volatile organic compounds (e.g., polycyclic aromatic hydrocarbons such as benzo[a]pyrene); • volatile organic compounds (e. g., benzene) The 24-hour air pollutant samples are collected from midnight to midnight. These datasets are generally posted on a quarterly basis. Data Disclaimer NAPS data products are subject to change on an ongoing basis, and reflect the most up-to-date and accurate information available. New versions of files will replace older ones, while retaining the same location and filename. The ‘Data-Donnees’ directory contains continuous and integrated data sorted by sampling year and then measurement. Pollutants measured, sampling duration and sampling frequency may vary by site location. Additional program details can be found at ‘ProgramInformation-InformationProgramme’ also in the data resources section. Citations National Air Pollution Surveillance Program, (year accessed). Available from the Government of Canada Open Data Portal at open.canada.ca.

[211+ Pages Report] The global Enterprise Data Management market size is expected to grow from USD 77.5 billion to USD 130.6 billion by 2028, at a CAGR of 9.1% from 2022-2028

This web map shows the location of Integrated Treatment Centre (Special Preventive Programme) in Hong Kong. It is a subset of the data made available by the Department of Health under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in XLSX format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.