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This dataset contains comprehensive web accessibility audit results from 50 major websites, analyzed using the industry-standard axe-core accessibility testing engine. The data provides insights into common accessibility violations, WCAG compliance levels, and real-world accessibility challenges.
Perfect for accessibility research, compliance analysis, and educational purposes.
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TwitterThis data set contains three parts:
A collection of the raw data, which includes (a) the retrieved landing page of each analyzed PSO (to be precise, the DOM presentation from a browser showing this page) both in HTML and text (text without HTML tags), (b) for each of the six automated checker/engine combination one log file, (c) other metadata such as text file containing tools' and libraries' version information. Data of case 1(a) may contain personal data (details see below) and is thus kept in a separate archive file and is only available upon request. Data of case 1(b) has been stripped of personal data and thus may get shared freely. This data allows investigating how the webpages looked at the time of the study and to which assessments the then-current automated checkers came. Future studies can reproduce the same setup and, for example, compare changes over time in PSOs' webpages' accessibility.
A "coverage" file that is essentially a big database on WCAG-2 success criteria, their metadata, and links to automated checkers' documentation and source code. The "coverage" file combines information from various sources, such as information scrapped from W3C web page, accessibility tools' Git repositories, or AXE's documentation. Other researchers can load this "coverage" file to get a database of WCAG-2 success criteria and associated metadata in their data analysis without performing those error-prone and tedious steps themselves.
A collection of Python files. This not only allows reproducing how raw data was process and filtered (up to the output of LaTeX code), but allows other researchers to get inspiration how to solve problems addressed in this code base as well as to re-use code in their own projects.
The data covered by case 1(a) above includes textual data collected from publicly available web pages of Swedish public sector organizations (PSOs), which may include names, contact details, or other personal or biographical information. Due to the directory structure, for every file the origin of the data is determined, so any further questions about the handling of personal data shall be directed to the respective PSO.
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In order to promote an accessible online environment in our country, and to guarantee the rights of people with disabilities to access information, our country has established the "Web Accessibility Development Regulations," developed new accessible web page testing software, and provided agencies with the procedure to apply for the accessibility mark, as well as managing operations related to the accessibility mark for web pages. This data is from 2003 onwards and includes statistics on the accessibility marks for web pages of government agencies, schools, private enterprises, and associations.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Do
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TwitterThe Administration for Children and Families (ACF) is committed to providing access to our digital content for individuals with disabilities. To meet this commitment, this site is built to comply with the requirements of Section 508 of the Rehabilitation Act . Section 508 requires that individuals with disabilities, who are members of the public seeking information or services from us, have access to and use of information and data that is comparable to that provided to the public who are not individuals with disabilities, unless an undue burden would be imposed on us. Section 508 also requires us to ensure that federal employees with disabilities have access to and use of information and data that is comparable to the access to and use of information and data by federal employees who are not individuals with disabilities, unless an undue burden would be imposed on us. If you use assistive technology (such as a Braille reader, a screen reader, TTY, etc.) and the format of any material on our websites interferes with your ability to access the information, please contact the Section 508 Coordinator. Please indicate web address of the requested material, the nature of your accessibility problem, and the preferred format in which to receive the information. Metadata-only record linking to the original dataset. Open original dataset below.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This study quantifies the time disparity experienced by Blind users when they encounter web accessibility barriers. The resulting data illustrates a significant reason why web accessibility is imperative, by highlighting and measuring the cost of inaccessibility through the lens of the inequity that accessibility barriers place on the time of users with disabilities in both personal and business settings.
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TwitterIn 2020, almost all (99.93 percent of) e-commerce websites in Brazil were partially accessible for people with physical disabilities, but these online shopping platforms experienced problems in terms of web accessibility. It has been forecast that, in 2020, Brazil would be home to over *** million internet users.
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TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
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Midpoint data gathered as part of the Web Accessibility National Transition Strategy; this data provides a snapshot of the progress made so far.
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This data article presents an evaluation of web accessibility of home pages of Chilean Universities listed in The World University Rankings. The study has been carried out using web accessibility evaluation tools and its aim has been to analyze the level of compliance with the WCAG 2.0 regulation. The data presented in this data article is related to the research article entitled “Evaluation of Web Accessibility of Higher Education Institutions in Chile”.
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TwitterThe lack of accessibility on websites can result in people with disabilities not accessing information online. Therefore, this research aims to create a process model for continuous web accessibility testing by adapting and customizing three methodologies: Deming cycle (Plan, Do, Check, Act), Website Accessibility Conformance Evaluation Methodology (WCAG-EM), and Total Quality Management. The process model is composed of four phases. The first phase (Plan) allows defining the accessibility problem, its importance, and the Web Content Accessibility Guidelines (WCAG) against which will evaluate it. In addition, determine the current situation of the websites, the potential causes of accessibility problems, classify the success criteria by principles, guidelines, and levels of conformity, to elaborate the solution plan and the action plan. The second phase (Do) allows the execution of the action plan to correct the accessibility problems. In this phase, we should perform continuous testing with automatic evaluation tools, end-users, and experts to corroborate that the changes have had an effect. The third phase (Check) allows measuring compliance and non-compliance with the defined Key Performance Indicators (KPIs). This phase also explains the reasons for non-compliance. The fourth and last phase (Act) documents the solutions learned for inclusion in future developments. It was tested using a case study to determine the viability of the process model, which allowed corroborating its functionality and applicability. In future work, we plan to adapt the process model to different workgroups, develop accessible mobile applications, and comply with web accessibility in electronic documents.
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The website accessibility software market is booming, projected to reach $608 million by 2033 with a 4.8% CAGR. Learn about key drivers, trends, and leading companies shaping this crucial sector for WCAG compliance and inclusive digital experiences. Discover market insights and projections for this rapidly growing industry.
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TwitterIn 2023, websites operated by organizations with *** to *** employees achieved the highest compliance with the Korean web content accessibility guidelines, averaging **** compliance points.
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TwitterThis EnviroAtlas web service includes maps that illustrate factors affecting transit accessibility, and indicators of accessibility. Accessibility measures how easily people can reach destinations such as their workplaces and can be measured in terms of both time and distance. It is affected by factors such as the proximity of housing to jobs, transit stops, stores, and services; the availability of various transit modes; and land use patterns. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The objective of this paper is to show the data obtained from an analysis of higher education institutions in Chile.
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This data is a result of web accessibility evaluation of National Libraries and ISBN Agencies, using Popetech web accessibility platform. Popetech (https://www.pope.tech/), in turn, uses WAVE web accessibility evaluation tool (https://wave.webaim.org/). The dataset consist of two files, the first one contains the total ocurrences of each category of accessibility barriers that prevents persons with disabilities from enjoing the websites of National Libraries and ISBN Agencies. The sencond file contains the summary of web accessibility items of the websites of National libraries and ISBN agencies.
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TwitterDifferences in the number and proportions of persons with disabilities or long-term conditions aged 15 years and over in Canada who experienced at least one type of barrier to accessibility when accessing the Internet because of their condition.
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The Web Accessibility Testing Service market is booming, projected to reach $6 billion by 2033 with a 15% CAGR. Learn about key drivers, trends, and restraints shaping this crucial sector for digital inclusion, compliance, and user experience. Explore market size, segmentation, and leading companies.
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TwitterAttribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
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This is a collection of data on the availability and state of Internet connections by location in Pennsylvania. Each of the resources includes in its description a link to the source of the data.
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this research aims to evaluate the accessibility of the home pages of the web portals of the Ecuadorian higher education institutions ranked in the Webometrics with the Web Content Accessibility Guidelines (WCAG) 2.1 of the World Wide Web Consortium.
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This .bib file contains the complete list of references used in the systematic literature review (SLR) presented in the article "Accessible Web Design for Older Adults: Challenges and Solutions". It is provided as a dataset to facilitate transparency, reproducibility, and reuse in related research on web accessibility and inclusive design.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset contains comprehensive web accessibility audit results from 50 major websites, analyzed using the industry-standard axe-core accessibility testing engine. The data provides insights into common accessibility violations, WCAG compliance levels, and real-world accessibility challenges.
Perfect for accessibility research, compliance analysis, and educational purposes.