Specifications Table
| Subject | Computer Science and Education |
| Specific subject area | Analysis, Classification Analysis, Web Accessibility |
| Type of data | Table in.xlsx format Graph |
| How data were acquired | Web scrapping from Webometrics, automatic evaluation with WAVE (software https://wave.webaim.org/) and manual review by experts. |
| Data format | Raw, analyzed. The dataset is public and is available in the Mendeley Dataset Repository [2]. |
| Parameters for data collection | The authors performed a web scraping from the Webometrics site. Using an Excel macro, we obtained the URL of each site to evaluate. The URL of each home page was loaded into the Google Chrome browser, and the WAVE plug-in was executed. The resulting data was manually recorded in a spreadsheet that is now stored in the Mendeley Dataset Repository. |
| Description of data collection | For the evaluation of the main pages of each website, the data was collected as follows. The first phase involved a web scraping of the Webometrics site, in the section of Latin American universities. In the second phase, 368 web pages were randomly selected for evaluation. In phase three, an Excel macro was used to extract each URL and place it in the Google Chrome browser. The WAVE plug-in, version 1.0.9, updated November 17, 2017. WAVE produces a report containing the data and variables involved. Finally, the report data from each web page was manually copied and organized in the spreadsheet. |
| Data source location | Higher Education Institutions in 26 countries: Antigua Barbuda, Argentina, Aruba, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominica, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Dominican Republic, Trinidad and Tobago, Uruguay, and Venezuela. |
| Data accessibility | Mendeley Dataset Repository on https://data.mendeley.com/datasets/526kfj5dpj/1 |
| Related research article | Acosta-Vargas, P., Acosta, T., & Luján-Mora, S. “Challenges to Assess Accessibility in Higher Education Websites: A Comparative Study of Latin America Universities.” IEEE Access, vol. 6, pp. 36500–36508, 2018. DOI 10.1109/ACCESS.2018.2848978 |