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Data Governance Market Size 2024-2028

The data governance market size is forecast to increase by USD 5.39 billion at a CAGR of 21.1% between 2023 and 2028. The market is experiencing significant growth due to the increasing importance of informed decision-making in business operations. With the rise of remote workforces and the continuous generation of data from various sources, including medical devices and IT infrastructure, the need for strong data governance policies has become essential. With the data deluge brought about by the Internet of Things (IoT) device implementation and remote patient monitoring, ensuring data completeness, security, and oversight has become crucial. Stricter regulations and compliance requirements for data usage are driving market growth, as organizations seek to ensure accountability and resilience in their data management practices. companies are responding by launching innovative solutions to help businesses navigate these complexities, while also addressing the continued reliance on legacy systems. Ensuring data security and compliance, particularly in handling sensitive information, remains a top priority for organizations. In the healthcare sector, data governance is particularly crucial for ensuring the security and privacy of sensitive patient information.

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

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Data governance refers to the overall management of an organization's information assets. In today's digital landscape, ensuring secure and accurate data is crucial for businesses to gain meaningful insights and make informed decisions. With the increasing adoption of digital transformation, big data, IoT technologies, and healthcare industries' digitalization, the need for sophisticated data governance has become essential. Policies and standards are the backbone of a strong data governance strategy. They provide guidelines for managing data's quality, completeness, accuracy, and security. In the context of the US market, these policies and standards are essential for maintaining trust and accountability within an organization and with its stakeholders.

Moreover, data volumes have been escalating, making data management strategies increasingly complex. Big data and IoT device implementation have led to data duplication, which can result in data deluge. In such a scenario, data governance plays a vital role in ensuring data accuracy, completeness, and security. Sensitive information, such as patient records in the healthcare sector, is of utmost importance. Data governance policies and standards help maintain data security and privacy, ensuring that only authorized personnel have access to this information. Medical research also benefits from data governance, as it ensures the accuracy and completeness of data used for analysis.

Furthermore, data security is a critical aspect of data governance. With the increasing use of remote patient monitoring and digital health records, ensuring data security becomes even more important. Data governance policies and standards help organizations implement the necessary measures to protect their information assets from unauthorized access, use, disclosure, disruption, modification, or destruction. In conclusion, data governance is a vital component of any organization's digital strategy. It helps ensure high-quality data, secure data, and meaningful insights. By implementing strong data governance policies and standards, organizations can maintain trust and accountability, protect sensitive information, and gain a competitive edge in today's data-driven market.

Market Segmentation

The market 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 2018-2022 for the following segments.

Application

  Risk management
  Incident management
  Audit management
  Compliance management
  Others


Deployment

  On-premises
  Cloud-based


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Sweden


  APAC

    India
    Singapore


  South America



  Middle East and Africa

By Application Insights

The risk management segment is estimated to witness significant growth during the forecast period. Data governance is a critical aspect of managing data in today's business environment, particularly in the context of wearables and remote monitoring tools. With the increasing use of these technologies for collecting and transmitting sensitive health and personal data, the risk of data breaches and cybersecurity threats has become a significant concern. Compliance regulations such as HIPAA and GDPR mandate strict data management practices to protect this information. To address these challenges, advanced data governance solutions are being adopted. AI t

Abstract: This paper evaluates the data quality of road axes using the OpenStreetMap (OSM) collaborative mapping platform. OSM was chosen owing to the abundance of data and registered contributors (~ 6 million). We assumed the OSM collaborative data could complement the reference mappings by its quality parameters. We used the cartographic quality indicators of positional accuracy, thematic accuracy, and completeness to validate vector files from OSM. We analyzed the positional accuracy of linear features and we developed the automation of the positional accuracy process. The tool verified the completeness of road axes and thematic accuracy. The positional accuracy of linear features was also used, performed to obtain a range of scales, which reflected the characteristics of mapped areas and varied from 1:22,500 to 1:25,000. The completeness of road axes was 82% of the checked areas. By evaluating the thematic accuracy, we found that the absence of road axes toponymy in editions caused errors in the OSM features (i.e., 58% of road axes without information). As such, we concluded that collaborative data complements the reference cartography by measuring the heterogeneity of information in various regions and filtering the OSM data, despite its being useful for certain analyses.

These routes are updated for each new pick (schedule change), approximately every four months. This layer currently reflects the June 2025 transit network. Route and service information is derived from the GTFS feed for the current service period. Download the current GTFS feed here.Disclaimer: The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

Search this map to learn more about a location and its surrounding area.Use one of the following search methods:Click the search box and type in an address or choose Use current locationClick within the mapResults will provide detailed information about Waste Hauler Services and Providers within the County Unincorporated area jurisdiction. This includes an overview of available services, the types of waste handled, and contact details for local waste haulers. Limited information is also provided for other jurisdictions located in San Bernardino County.The geographic information made available by and through San Bernardino County (County) in this map is presented as a public resource of general information. The information may include both map data and data provided by the County. While the County strives to maintain the accuracy of the content of its data files, it makes no claims, promises, or guarantees about the accuracy, completeness, or adequacy of the contents of the files. San Bernardino County assumes no responsibility arising from use of the information provided. No warranty of any kind, expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for particular purposes is made. It is the responsibility of the recipient of this data to determine that the level of accuracy meets their needs prior to making any judgments or decisions based on this information. Do not make any decisions based on this data before validating your decision with the appropriate County office.

Data containing water mains in the Central Highland Water service area.Please note: Although Central Highlands Water takes great care in managing its data, we make no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Central Highlands Water shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

PurposeThis dataset has been published by the City Treasurer of the City of Virginia Beach and data.vbgov.com. The mission of data.vbgov.com is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.Access constraintsThe data is publicly available and accessible.Use constraintsBy using data made available through this site, the user agrees to all the conditions stated in the following paragraphs, as well as the terms and conditions described in the “Terms of Use” on the “About this Site” page.The City of Virginia Beach makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one’s own risk. Applications using data supplied by this site must include the following disclaimers on their sites:“The data made available here has been modified for use from its original source, which is the City of Virginia Beach. Neither the City of Virginia Beach nor the Office of the Chief Information Officer (CIO) makes any claims as to the completeness, timeliness, accuracy or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the web feed is being used at one’s own risk.” As found in the “Terms of Use” on the “About this Site” page.Point of ContactCity Treasurer’s OfficeDonnah Perry, Deputy Treasurer for Real Estate757-385-8258vbre4you@vbgov.comCreditsCity of Virginia Beach Office of the Chief Information Officer (CIO), data.virginiabeach.com staffDistributionDistribution liability: By using data made available through this site, the user agrees to all the conditions started in the following paragraphs, as well as, the terms and conditions described in the “Terms of Use” on the “About this Site” page.The City of Virginia Beach makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one’s own risk. Applications using data supplied by this site must include the following disclaimers on their sites:“The data made available here has been modified for use from its original source, which is the City of Virginia Beach. Neither the City of Virginia Beach nor the Office of the Chief Information Officer (CIO) makes any claims as to the completeness, timeliness, accuracy or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the web feed is being used at one’s own risk.” As found in the “Terms of Use” on the “About this Site” page.Distributed bydata.vbgov.com2405 Courthouse Dr.Virginia Beach, VA 23456Entity

Context

NYC Open Data is an opportunity to engage New Yorkers in the information that is produced and used by City government. We believe that every New Yorker can benefit from Open Data, and Open Data can benefit from every New Yorker. Source: https://opendata.cityofnewyork.us/overview/

Content

Thanks to NYC Open Data, which makes public data generated by city agencies available for public use, and Citi Bike, we've incorporated over 150 GB of data in 5 open datasets into Google BigQuery Public Datasets, including:

• Over 8 million 311 service requests from 2012-2016

• More than 1 million motor vehicle collisions 2012-present

• Citi Bike stations and 30 million Citi Bike trips 2013-present

• Over 1 billion Yellow and Green Taxi rides from 2009-present

• Over 500,000 sidewalk trees surveyed decennially in 1995, 2005, and 2015

This dataset is deprecated and not being updated.

Fork this kernel to get started with this dataset.

Acknowledgements

https://opendata.cityofnewyork.us/

https://cloud.google.com/blog/big-data/2017/01/new-york-city-public-datasets-now-available-on-google-bigquery

This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - https://data.cityofnewyork.us/ - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

By accessing datasets and feeds available through NYC Open Data, the user agrees to all of the Terms of Use of NYC.gov as well as the Privacy Policy for NYC.gov. The user also agrees to any additional terms of use defined by the agencies, bureaus, and offices providing data. Public data sets made available on NYC Open Data are provided for informational purposes. The City does not warranty the completeness, accuracy, content, or fitness for any particular purpose or use of any public data set made available on NYC Open Data, nor are any such warranties to be implied or inferred with respect to the public data sets furnished therein.

The City is not liable for any deficiencies in the completeness, accuracy, content, or fitness for any particular purpose or use of any public data set, or application utilizing such data set, provided by any third party.

Banner Photo by @bicadmedia from Unplash.

Inspiration

On which New York City streets are you most likely to find a loud party?

Can you find the Virginia Pines in New York City?

Where was the only collision caused by an animal that injured a cyclist?

What’s the Citi Bike record for the Longest Distance in the Shortest Time (on a route with at least 100 rides)?

https://cloud.google.com/blog/big-data/2017/01/images/148467900588042/nyc-dataset-6.png" alt="enter image description here"> https://cloud.google.com/blog/big-data/2017/01/images/148467900588042/nyc-dataset-6.png

Contains locations and data for all active bus, rail, and incline stops. Stops are updated for each new pick (schedule change), approximately every four months. This layer currently reflects the June 2025 transit network. Stop locations and service information are derived from the GTFS feed for the current service period. Download the current GTFS feed here.Disclaimer: The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

DISCLAIMER FOR PUBLIC-FACING HYDROLOGY (STREAMS & WATERBODIES) DATA June 16, 2022 The Town of Chapel Hill Stormwater Management Division (TOCH-SWMD) provides these data for the purposes of research, education, environmental review, assessment, and project planning. The use of TOCH-SWMD data should not be substituted for actual field surveys. Conditions on the ground should be verified before any land use decisions are made based on TOCH-SWMD data. Hydrology (stream and waterbody) classifications are only valid for a period of five (5) years since the date of the last site visit. If a stream or waterbody has not been visited within five years of the “verified date” a new site visit is needed. Stream classifications are used to determine the applicability of the Town’s stream buffer regulations. Wetlands data are incomplete and should not be used for jurisdictional determinations. TOCH-SWMD makes no warranties as to the completeness and accuracy of the data presented. The accuracy and completeness of TOCH-SWMD data frequently depends on the date and purpose of the data.

In 1984, the General Assembly enacted the Chesapeake Bay Critical Area Act to regulate development, manage land use and conserve natural resources on land in those areas designated as Critical Area. For this document, the Critical Area is all land and water areas within 1,000 feet of the tidal waters' edge or from the landward edge of adjacent tidal wetlands and the lands under them. Georeferenced digital data files of the critical Area have been produced for Baltimore City and the 16 Maryland counties with land located within the Critical Area. The digital maps produced for each jurisdiction are polygons depicting the Critical Area and the land use classifications recognized by the Chesapeake Bay Critical Area Commission (CBCAC). Each jurisdiction is a separate file. The data were produced from hard copy parcel maps originally submitted by the counties as part of the requirements for developing their Critical Area Program. For the purpose of the Mdimap web service the Critical Area Data is displayed by two data layers, one general layer and one layer showing the available critical area data for local towns.This data set represents the Department of Natural Resources interpretation of the location and extent of the Critical Area; however, the digital maps are not recognized as the "official" maps. In accordance with Subsection 8-1807(a) of the Critical Area Act, the Critical Area consists of (1) All waters and lands under the Chesapeake Bay and its tributaries to the head of tide as indicated on the State wetland maps, and all State and private wetlands designated under Environment Article, Title 16, annotated Code of Maryland; (2) All land and water areas within 1,000 feet beyond the landward boundaries of State or private wetlands and the of tides designated under Environment Article, Article 16, Annotated Code of Maryland; and (3) Modification to these areas through inclusions or exclusions proposed by local jurisdictions and approved by Commission as specified in Natural Resources Article, Subsection 8-1807, annotated Code of Maryland. These maps are hard copy maps that cannot be exactly replicated in a digital format; therefore, some interpretation was necessary to create the digital line. Hard copy maps depicting the official Critical Area boundary line are available for review at the Chesapeake Bay Critical Area Commission, and at most local planning and zoning departments. The Department of Natural Resources makes no warranty, expressed or implied, as to the use or appropriateness of Spatial Data, and there are no warranties of merchantability or fitness for a particular purpose or use. The intended use is for general information and planning purposes. It is not intended to be used to determine the exact location of the Critical Area boundary on a specific parcel or to determine the acreage within the Critical Area on a specific site. The information contained in Spatial Data is from publicly available sources, but no representation is made as to the accuracy or completeness of Spatial Data. The Department of Natural Resources shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. The Department of Natural Resources shall not be liable for any lost profits, consequential damages, or claims against the Department of Natural Resources by third parties. The liability of the Department of Natural Resources for damage regardless of the form of the action shall not exceed any distribution fees that may have been paid in obtaining Spatial Data.There were many parties involved in producing Maryland's Critical Area data and the key parties will be listed. Each county and city (listed below) produced a hard copy map and submitted the map to the Chesapeake Bay Critical Area Commission (CBCAC) for approval. Through Coastal Zone Management grants, CBCAC digit

The global Data Quality Management (DQM) tool market is poised for steady growth, projected to reach approximately $694.1 million by 2025, with a Compound Annual Growth Rate (CAGR) of 3.4% expected to continue through 2033. This expansion is fueled by the escalating need for reliable and accurate data across all business functions. Organizations are increasingly recognizing that poor data quality directly impacts decision-making, operational efficiency, customer satisfaction, and regulatory compliance. As businesses generate and process ever-larger volumes of data from diverse sources, the imperative to cleanse, standardize, enrich, and monitor this data becomes paramount. The market is witnessing a significant surge in demand for DQM solutions that can handle complex data integration challenges and provide robust profiling and governance capabilities. The DQM market is being shaped by several key trends and drivers. A primary driver is the growing adoption of Big Data analytics and Artificial Intelligence (AI)/Machine Learning (ML), which heavily rely on high-quality data for accurate insights and predictive modeling. Furthermore, stringent data privacy regulations such as GDPR and CCPA are compelling organizations to invest in DQM tools to ensure data accuracy and compliance. The shift towards cloud-based solutions is another significant trend, offering scalability, flexibility, and cost-effectiveness. While on-premise solutions still hold a share, cloud adoption is rapidly gaining momentum. The market is segmented by application, with both Small and Medium-sized Enterprises (SMEs) and Large Enterprises demonstrating a growing need for effective DQM. Companies are increasingly investing in DQM as a strategic imperative rather than a purely tactical solution, underscoring its importance in the digital transformation journey. This report provides an in-depth analysis of the global Data Quality Management (DQM) Tool market, a critical segment of the data management landscape. The study encompasses a comprehensive historical period from 2019 to 2024, with the base year set for 2025 and an estimated year also in 2025. The forecast period extends from 2025 to 2033, offering valuable insights into future market trajectories. The DQM tool market is projected to witness significant expansion, with the global market size estimated to reach $12,500 million by 2025 and potentially exceeding $25,000 million by 2033. This growth is fueled by the increasing recognition of data as a strategic asset and the imperative for organizations to ensure data accuracy, completeness, and consistency for informed decision-making, regulatory compliance, and enhanced customer experiences.

Set Up We’ll help ensure you’re set up to get the data you need, how you need it. We’ll help you through provisioning the extraction, enrichment, formatting, delivery/update schedule, and reporting around your data. With hundreds of unique data points available, the information you need to find leads fast is at your fingertips - new homeowner data, home ownership data, B2C contact data and more, built for professional services companies.

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This layer depicts the transit service area for PRT, defined as the area within a quarter-mile (five minute) walk of a bus stop and within a half-mile (ten minute) walk of a busway, rail or incline station. Individual polygons depict the approximate area within walking distance of active stops for the 2510 (October 2025) schedule period. Walksheds are updated approximately every four months to reflect changes to PRT service.Disclaimer: The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

Data containing water fireplugs and hydrants in the Central Highland Water service area.
Please note: Although Central Highlands Water takes great care in managing its data, we make no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Central Highlands Water shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

BackgroundThe National Neonatal Research Database (NNRD) is a rich repository of pre-defined clinical data extracted at regular intervals from point-of-care, clinician-entered electronic patient records on all admissions to National Health Service neonatal units in England, Wales, and Scotland. We describe population coverage for England and assess data completeness and accuracy.MethodsWe determined population coverage of the NNRD in 2008–2014 through comparison with data on live births in England from the Office for National Statistics. We determined the completeness of seven data items on the NNRD. We assessed the accuracy of 44 data items (16 patient characteristics, 17 processes, 11 clinical outcomes) for infants enrolled in the multi-centre randomised controlled trial, Probiotics in Preterm Study (PiPs). We compared NNRD to PiPs data, the gold standard, and calculated discordancy rates using predefined criteria, and sensitivity, specificity and positive predictive values (PPV) of binary outcomes.ResultsThe NNRD holds complete population data for England for infants born alive from 25+0 to 31+6 (completed weeks) of gestation; and 70% and 90% for those born at 23 and 24 weeks respectively. Completeness of patient characteristics was over 90%. Data were linked for 2257 episodes of care received by 1258 of the 1310 babies recruited to PiPs. Discordancy rates were

This archival information package contains no digital representation of data from this publication. The publication can be obtain from the Massachusetts Institute of Technology at http://hdl.handle.net/1721.1/58011. The objective of this investigation was to measure bottom loss in normal incident reflection of pulses of 12 kcps sound and to study its geological significance. To this end a semi-automatic instrument system was developed which is capable of making continuous measurements of the peak pressure and the time integral of the square of the pressure of the sea-floor echo, from a vessel underway.

The Cloud Data Quality Monitoring and Testing market is poised for robust expansion, projected to reach an estimated market size of USD 15,000 million in 2025, with a remarkable Compound Annual Growth Rate (CAGR) of 18% expected from 2025 to 2033. This significant growth is fueled by the escalating volume of data generated by organizations and the increasing adoption of cloud-based solutions for data management. Businesses are recognizing that reliable data is paramount for informed decision-making, regulatory compliance, and driving competitive advantage. As more critical business processes migrate to the cloud, the imperative to ensure the accuracy, completeness, consistency, and validity of this data becomes a top priority. Consequently, investments in sophisticated monitoring and testing tools are surging, enabling organizations to proactively identify and rectify data quality issues before they impact operations or strategic initiatives. Key drivers propelling this market forward include the growing demand for real-time data analytics, the complexities introduced by multi-cloud and hybrid cloud environments, and the increasing stringency of data privacy regulations. Cloud Data Quality Monitoring and Testing solutions offer enterprises the agility and scalability required to manage vast datasets effectively. The market is segmented by deployment into On-Premises and Cloud-Based solutions, with a clear shift towards cloud-native approaches due to their inherent flexibility and cost-effectiveness. Furthermore, the adoption of these solutions is observed across both Large Enterprises and Small and Medium-sized Enterprises (SMEs), indicating a broad market appeal. Emerging trends such as AI-powered data quality anomaly detection and automated data profiling are further enhancing the capabilities of these platforms, promising to streamline data governance and boost overall data trustworthiness. However, challenges such as the initial cost of implementation and a potential shortage of skilled data quality professionals may temper the growth trajectory in certain segments. Here's a comprehensive report description for Cloud Data Quality Monitoring and Testing, incorporating your specified elements:

This service shows the datasets listed below. All datasets are in the ITM coordnate system. This data is subject to change and will be updated from time to time. Datasets included in this zip are - Life Sites and Millenium Forest Boundaries . Please refer to terms of use for this dataset before using. These are available below or on the Coillte Public Viewer. The link to this is also included on this page below. Use of data All data on this viewer is available to download and subject to the terms of use – by downloading the data you are agreeing to the terms of use. Data is in ITM format. You agree not to copy, publish or use the data on another website or in any manner likely to confuse members of the public or amount to misrepresentation as to your identity or relationship with Coillte. You agree not to access the data contained therein in any way which is unlawful, illegal, fraudulent or harmful or in connection with any for any unlawful, illegal, fraudulent or harmful activity, including data privacy breaches. The dataset is made available free of charge. We do not guarantee that this dataset, or any content in our Arc GIS online platform, will always be available or be uninterrupted. Coillte may suspend or withdraw or restrict the availability of all or part of the Viewer for business or operational reasons. The content on the Coillte ArcGIS platform is for general information only. Reasonable care has been exercised in the compilation of the information available through the ArcGIS online platform. There is no representation or warranty made as to the accuracy, completeness or currency of such information. The use of any such information, which may be altered or updated at any time without notice, is at the sole risk of the user. Coillte cannot accept responsibility for any errors or omissions or any consequential loss as a result of the same. Before relying on the information on this site, users should carefully evaluate its accuracy, currency, completeness and relevance for their purposes. The site and data are provided on an "as is" and "as available" basis and Coillte does not guarantee and assumes no legal liability or responsibility for the accuracy, timeliness, completeness, performance or fitness for a particular purpose, of the site or any content. Copyright Declaration You agree not to use the information provided except for research or private study and will not supply a copy of this information to any other person without seeking prior permission from Coillte. You may not use any part of this content for commercial purposes without obtaining permission from Coillte to do so, for which a license may be required. Coillte is the owner or licensee of all intellectual property rights in this layer and such rights are protected by copyright. You acknowledge that data downloaded are subject to change and update. If this information is to be published in any format (written or electronic) you will acknowledge this source and forward a copy of the material in published form to the Coillte office in Newtownmountkennedy or to info@coillte.ie

Data containing recycled water mains in the Central Highland Water service area.Please note: Although Central Highlands Water takes great care in managing its data, we make no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Central Highlands Water shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

A list of Water Level and Flow Monitoring Stations (that readings are available for) and the respective latitude and longitude of these stations.

This data is sourced from the Government of Alberta website and as such the Government of Alberta's disclaimer covers this data.

Government of Alberta Disclaimer:

Data provided through this web app is provisional and preliminary in nature. Data is automatically generated by remote equipment that may not be under control of the Government of Alberta. This data has not been reviewed or edited for accuracy and may be subject to significant change when reviewed or corrected. Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of this data and any use of it is therefore, entirely at your own risk.

Additional Government of Alberta "Provisional Data Disclaimer":

Alberta Environment routinely collects real-time hydrometeorological data from meteorological and stream gauges using telephone and communications satellites to support its water resources management activities. These gauges are owned and operated by different organizations and partners outside the Alberta Government.

Near Real-Time data provided at this site are provisional and preliminary in nature. They are automatically generated by remote equipment that may not be under Alberta Government control and have not been reviewed or edited for accuracy. These data may be subject to significant change when manually reviewed and corrected.

The accuracy of the data can be affected by many factors including:

• malfunction of recording equipment

• algal and aquatic growth in the stream which affects the stage-discharge relationship

• backwater from ice or debris such as log jams

• changes to the stream bed geometry

Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of these data and any use of them is entirely at your own risk. “