Dataset for evaluating the accessibility of the websites of selected Latin American universities.

Clicks: 399
ID: 83715
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #14 of 180 articles by views in Data in brief

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 180 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This article presents the process of building a dataset for evaluation of the accessibility of 368 web pages, beginning with Webometrics rankings, the WAVE tool was used in the evaluation of the web pages. The dataset documents data on repeated errors with higher frequency, in such a way that they alert the web developers, supporting them in creating more inclusive and accessible websites for all types of people, including users with disabilities. The data show that university websites have frequent problems related to the lack of alternative text linked to images. Some of the university websites included in this dataset were found to violate web accessibility requirements based on the Web Content Accessibility Guidelines 2.0 and 2.1. Therefore, this data has been shared to allow replication of the experiment, and serve as an input to future studies related to web accessibility. The dataset is hosted, with public access, in the Mendeley Dataset Repository.
Reference Key
acostavargas2020datasetdata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Acosta-Vargas, Patricia;González, Mario;Luján-Mora, Sergio;
Journal Data in brief
Year 2020
DOI
10.1016/j.dib.2019.105013
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.