If data had weight, 35.3 GB of data would crush you. This amount of data would literally reach the sky.
Thinking about how to visualize 35.3 GB of data, you could approximate that it's equivalent to 20 million pages of text. If those pages of text were printed, the stack of paper would be more than 6,000 feet tall—that is twice the height of the Empire State Building!
I asked ChatGPT to visualize this and was presented with the image you see here.
That's a lot of content!
DCL recently announced its collaboration with Emerald Publishers. DCL is actively converting the extensive portfolios of Emerald and the Institution of Civil Engineers (ICE)—journal articles, books, cases, briefings, and other content—into enhanced XML for optimal performance on the Silverchair Platform. More than 1.3 million XML, Word, and EPUB files were analyzed to detect structural problems affecting usability. The 1.3 million files literally equates to 35,352,040,848 bytes or 35.3 GB or ~20 million pages, or two times the Empire State Building!
Over time, publishers' collections can develop issues that affect usability. Inaccurate in-text citations, incorrect display of images, missing or duplicate IDs are just some of the examples of common embedded discrepancies we often see when analyzing and updating XML for optimal performance on a publisher's platform. As research advances and technology evolves, maintaining a robust and flexible content framework is essential to support new technologies, improve user experience, and expand global reach.
It can be daunting to analyze a massive tome of content. Understanding the analysis and then actually updating files may seem like a Sisyphean task. In truth, this task is far from pointless; it is crucial now more than ever to ensure that research is accessible to all AND that research articles are properly structured and AI ready.
Click here to read more about how Emerald Publishers are expanding reach for a global audience and a more inclusive future.
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