When it’s said a picture is worth a thousand words, it generally is. Data visualization provides information that otherwise might take several paragraphs to explain. Yet, this technique privileges users that have sight.
These days, librarians receive less “ready reference” questions, meaning those straightforward questions that are easily answered by consulting a reference book (or the electronic equivalent).
At the ACS (American Chemical Society) National Meeting in Denver last month, I attended symposium where faculty and librarians talked about unreliability and irreproducibility of scientific publications. The discussion brought a different angle for us to understand published research.
Probably one of the more au courant methods in digital humanities scholarship is topic modeling, explanations of which range from the math-y and abstruse to the pictures and simple language approach.
Working on digital projects in a library, I often have occasion to think about data in its myriad forms and formats, what it can do and how, ways data structures can be made more usable, but also about data as such: