Museum Webpages Performance Dataset | Ver 1

This dataset thoroughly evaluates the web performance metrics for 234 museums worldwide. It includes 23 variables that assess technical performance, usability, and organizational details. The dataset contains information such as the organization’s name, domain, country, physical address, and the type of content management system (CMS) utilized. Performance metrics are available for both mobile and desktop platforms, addressing accessibility compliance, adherence to best practices, and search engine optimization (SEO). Specific metrics for mobile and desktop speed performance include First Contentful Paint (FCP), Total Blocking Time (TBT), Speed Index, Largest Contentful Paint (LCP), and Cumulative Layout Shift (CLS).

Data collection was conducted using PageSpeed Insights. The CMS employed by each organization was identified through the WhatCMS tool. This dataset serves as a useful resource for researchers, web developers, and cultural institutions seeking to enhance digital inclusivity, optimize website performance, and benchmark their digital presence against global standards. It also provides a solid foundation for studying web optimization, accessibility, and the broader digital transformation of cultural heritage institutions.

It is noted that information regarding dataset's authors has been erased as the dataset is used in a research paper submitted to Metrics for peer review evaluation and potential publication.