REED and the Prospect of Networked Data at CSRS 2016

This is the transcript of a long paper I gave as part of the "Digital Scholarship in Action: Research" panel at CSRS (Canadian Society for Renaissance Studies) in Calgary on May 30, 2016. The attendant PowerPoint is stored and indexed on the MLA Commons Open Repository Exchange, and is available here: http://dx.doi.org/10.17613/M6CK59

"REED and the Prospect of Networked Data"

At the MLA in January I gave a short paper entitled “Data Envy” - a contemplation of my inferiority complex with regards to scholars who have massive corpora to work with - Moretti-sized data. I reflected on the fact that the type of research with which I’m usually involved relies on close reading of texts and maps - and at the very most I’ve been able to work with is 2,500 records. I’ll get back to that in a moment, but I’d just like to say that I ended that short talk with a provocation - one that I’d like to use as the jumping off point for this paper: in today’s DH environment, where big data and linked data are increasingly the focus of scholars looking for ways to extend their research questions through more expansive and complementary datasets, what is the role of the individual research project? Is its value now truly in its integration and association and aggregation with other datasets? Continue reading REED and the Prospect of Networked Data at CSRS 2016

“Data Envy” at MLA 2016

This is the transcript of the short paper I gave as part of the "Digital Scholarship in Action: Research" panel at MLA 2016 in January . The attendant PowerPoint is stored and indexed on the MLA Commons Open Repository Exchange, and is available here: https://commons.mla.org/deposits/item/mla:667/

"Data Envy: Or, maintaining one’s self-confidence as a digital humanist at a time when everyone seems to be talking about …  Big Data"

SELF-CONSCIOUS: Perhaps I’m being overly self-conscious, but lately I’ve felt increasingly out of the loop in terms of DH discourse - namely because I don’t do big data. Or at least I don’t think I do. And I observe that discussions about DH invariably involve topic modeling and pattern recognition and linked data and large-scale data visualization and “bags of words”.

Continue reading “Data Envy” at MLA 2016

Tarlton’s Jests: TEI update #1

I've been experimenting with ways to present Tarlton's Jests as a work in progress over on The Tarlton Project. I decided that the best way to demonstrate how this project is coming together is to push preliminary experiments, using TEI Boilerplate for styling purposes.

You can see my first efforts on the Tarlton Project site.