This week’s topic was remediation and digitisation. The majority of the seminar was given over to looking at textual remediation and how text can be turned into a searchable dataset using tags and markup languages.
Markup Languages include HTML, the basic coding behind most websites, and XML. Through the use of tags, text can be marked up to make it more searchable. For example, by marking love song lyrics with <love>______</love>, we create a searchable dataset for scholars researching love songs.
The benefits of this are obvious. Creating searchable datasets saves scholars from time-intensive trawling through records. Importantly, the tags used within a dataset need to be consistent throughout to enable the search function to work. While this can be restrictive, it provides a useable dataset.